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:
Alonso, que hoy se desplazó a Talavera de la Reina (Toledo) para presentar el Programa Operativo, preguntado por la demanda que López de Coca ha presentado contra el presidente regional, José Bono, a quien reclama 30 millones de pesetas por lesionar su honor, dijo que "este señor, ex director general, cesado inmediatamente tras la aparición del escándalo por la entonces ministra, pretende reactivar el asunto del lino".
Postion	Tokenization
1	Alonso
2	,
3	que
4	hoy
5	se
6	desplazó
7	a
8	Talavera
9	de
10	la
11	Reina
12	(
13	Toledo
14	)
15	para
16	presentar
17	el
18	Programa
19	Operativo
20	,
21	preguntado
22	por
23	la
24	demanda
25	que
26	López
27	de
28	Coca
29	ha
30	presentado
31	contra
32	el
33	presidente
34	regional
35	,
36	José
37	Bono
38	,
39	a
40	quien
41	reclama
42	30
43	millones
44	de
45	pesetas
46	por
47	lesionar
48	su
49	honor
50	,
51	dijo
52	que
53	"
54	este
55	señor
56	,
57	ex
58	director
59	general
60	,
61	cesado
62	inmediatamente
63	tras
64	la
65	aparición
66	del
67	escándalo
68	por
69	la
70	entonces
71	ministra
72	,
73	pretende
74	reactivar
75	el
76	asunto
77	del
78	lino
79	"
80	.
Position	Tokenization	UPOS	Head	Deprel
1	Alonso	PROPN	51	nsubj
2	,	PUNCT	6	punct
3	que	PRON	6	nsubj
4	hoy	ADV	6	advmod
5	se	PRON	6	expl:pv
6	desplazó	VERB	1	acl
7	a	ADP	8	case
8	Talavera	PROPN	6	obl
9	de	ADP	11	case
10	la	DET	11	det
11	Reina	PROPN	8	flat
12	(	PUNCT	13	punct
13	Toledo	PROPN	8	flat
14	)	PUNCT	13	punct
15	para	ADP	16	mark
16	presentar	VERB	6	advcl
17	el	DET	18	det
18	Programa	PROPN	16	obj
19	Operativo	PROPN	18	flat
20	,	PUNCT	6	punct
21	preguntado	ADJ	1	amod
22	por	ADP	24	case
23	la	DET	24	det
24	demanda	NOUN	21	obj
25	que	PRON	30	obj
26	López	PROPN	30	nsubj
27	de	ADP	28	case
28	Coca	PROPN	26	flat
29	ha	AUX	30	aux
30	presentado	VERB	24	acl
31	contra	ADP	33	case
32	el	DET	33	det
33	presidente	NOUN	30	obl
34	regional	ADJ	33	amod
35	,	PUNCT	36	punct
36	José	PROPN	33	appos
37	Bono	PROPN	36	flat
38	,	PUNCT	41	punct
39	a	ADP	40	case
40	quien	PRON	41	obj
41	reclama	VERB	36	acl
42	30	NUM	43	nummod
43	millones	NOUN	41	obj
44	de	ADP	45	case
45	pesetas	NOUN	43	nmod
46	por	ADP	47	mark
47	lesionar	VERB	41	advcl
48	su	DET	49	det
49	honor	NOUN	47	obj
50	,	PUNCT	41	punct
51	dijo	VERB	0	root
52	que	SCONJ	73	mark
53	"	PUNCT	73	punct
54	este	DET	55	det
55	señor	NOUN	73	nsubj
56	,	PUNCT	57	punct
57	ex	NOUN	55	appos
58	director	NOUN	57	nmod
59	general	ADJ	57	amod
60	,	PUNCT	61	punct
61	cesado	ADJ	57	amod
62	inmediatamente	ADV	61	advmod
63	tras	ADP	65	case
64	la	DET	65	det
65	aparición	NOUN	61	obl
66	del	ADP	67	case
67	escándalo	NOUN	65	nmod
68	por	ADP	71	case
69	la	DET	71	det
70	entonces	ADV	71	advmod
71	ministra	NOUN	61	obj
72	,	PUNCT	57	punct
73	pretende	VERB	51	ccomp
74	reactivar	VERB	73	xcomp
75	el	DET	76	det
76	asunto	NOUN	74	obj
77	del	ADP	78	case
78	lino	NOUN	76	nmod
79	"	PUNCT	73	punct
80	.	PUNCT	51	punct