As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Lo que menos podían esperar los redactores gráficos que se dirigían al Bernabéu para preparar la cobertura del Madrid-Barça, a la misma hora de los atentados terroristas, es que a la salvajada etarra le iba a acompañar otra, dirigida contra ellos mismos: los ultrasur del Real Madrid, soliviantados porque el cordón policial tras el atentado les impedía acceder al estadio, agredieron impunemente a los periodistas, entre ellos el redactor de EL PERIÓDICO Antonio Giménez, que tuvo que ser atendido en un hospital, y otros profesionales de las emisoras CNN+ y Telemadrid, y de la agencia Cover.
Postion	Tokenization
1	Lo
2	que
3	menos
4	podían
5	esperar
6	los
7	redactores
8	gráficos
9	que
10	se
11	dirigían
12	al
13	Bernabéu
14	para
15	preparar
16	la
17	cobertura
18	del
19	Madrid-Barça
20	,
21	a
22	la
23	misma
24	hora
25	de
26	los
27	atentados
28	terroristas
29	,
30	es
31	que
32	a
33	la
34	salvajada
35	etarra
36	le
37	iba
38	a
39	acompañar
40	otra
41	,
42	dirigida
43	contra
44	ellos
45	mismos
46	:
47	los
48	ultrasur
49	del
50	Real
51	Madrid
52	,
53	soliviantados
54	porque
55	el
56	cordón
57	policial
58	tras
59	el
60	atentado
61	les
62	impedía
63	acceder
64	al
65	estadio
66	,
67	agredieron
68	impunemente
69	a
70	los
71	periodistas
72	,
73	entre
74	ellos
75	el
76	redactor
77	de
78	EL
79	PERIÓDICO
80	Antonio
81	Giménez
82	,
83	que
84	tuvo
85	que
86	ser
87	atendido
88	en
89	un
90	hospital
91	,
92	y
93	otros
94	profesionales
95	de
96	las
97	emisoras
98	CNN+
99	y
100	Telemadrid
101	,
102	y
103	de
104	la
105	agencia
106	Cover
107	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	5	det
2	que	PRON	5	obj
3	menos	ADV	5	advmod
4	podían	AUX	5	aux
5	esperar	VERB	30	csubj
6	los	DET	7	det
7	redactores	NOUN	5	nsubj
8	gráficos	ADJ	7	amod
9	que	PRON	11	nsubj
10	se	PRON	11	expl:pv
11	dirigían	VERB	7	acl
12	al	ADP	13	case
13	Bernabéu	PROPN	11	obl
14	para	ADP	15	mark
15	preparar	VERB	11	advcl
16	la	DET	17	det
17	cobertura	NOUN	15	obj
18	del	ADP	19	case
19	Madrid-Barça	PROPN	17	nmod
20	,	PUNCT	24	punct
21	a	ADP	24	case
22	la	DET	24	det
23	misma	DET	22	det
24	hora	NOUN	11	obl
25	de	ADP	27	case
26	los	DET	27	det
27	atentados	NOUN	24	nmod
28	terroristas	ADJ	27	amod
29	,	PUNCT	5	punct
30	es	AUX	0	root
31	que	SCONJ	39	mark
32	a	ADP	34	case
33	la	DET	34	det
34	salvajada	NOUN	39	iobj
35	etarra	ADJ	34	amod
36	le	PRON	39	obj
37	iba	AUX	39	aux
38	a	ADP	39	mark
39	acompañar	VERB	30	ccomp
40	otra	PRON	39	nsubj
41	,	PUNCT	42	punct
42	dirigida	ADJ	40	amod
43	contra	ADP	44	case
44	ellos	PRON	42	obj
45	mismos	PRON	44	appos
46	:	PUNCT	67	punct
47	los	DET	48	det
48	ultrasur	NOUN	67	nsubj
49	del	ADP	50	case
50	Real	PROPN	48	nmod
51	Madrid	PROPN	50	flat
52	,	PUNCT	62	punct
53	soliviantados	ADJ	62	xcomp
54	porque	SCONJ	62	mark
55	el	DET	56	det
56	cordón	NOUN	62	nsubj
57	policial	ADJ	56	amod
58	tras	ADP	60	case
59	el	DET	60	det
60	atentado	NOUN	62	obl
61	les	PRON	62	obj
62	impedía	VERB	48	acl
63	acceder	VERB	53	xcomp
64	al	ADP	65	case
65	estadio	NOUN	63	obj
66	,	PUNCT	62	punct
67	agredieron	VERB	30	advcl
68	impunemente	ADV	67	advmod
69	a	ADP	71	case
70	los	DET	71	det
71	periodistas	NOUN	67	obj
72	,	PUNCT	76	punct
73	entre	ADP	74	case
74	ellos	PRON	76	nmod
75	el	DET	76	det
76	redactor	NOUN	71	appos
77	de	ADP	79	case
78	EL	DET	79	det
79	PERIÓDICO	PROPN	76	nmod
80	Antonio	PROPN	76	appos
81	Giménez	PROPN	80	flat
82	,	PUNCT	84	punct
83	que	PRON	87	nsubj
84	tuvo	VERB	76	acl
85	que	SCONJ	87	cc
86	ser	AUX	87	aux
87	atendido	VERB	84	conj
88	en	ADP	90	case
89	un	DET	90	det
90	hospital	NOUN	87	obl
91	,	PUNCT	84	punct
92	y	CCONJ	94	cc
93	otros	DET	94	det
94	profesionales	NOUN	76	conj
95	de	ADP	97	case
96	las	DET	97	det
97	emisoras	NOUN	94	nmod
98	CNN+	PROPN	97	appos
99	y	CCONJ	100	cc
100	Telemadrid	PROPN	98	conj
101	,	PUNCT	105	punct
102	y	CCONJ	105	cc
103	de	ADP	105	case
104	la	DET	105	det
105	agencia	NOUN	97	conj
106	Cover	PROPN	105	appos
107	.	PUNCT	30	punct