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:
En su editorial, subraya que "esta nueva muerte acentúa todavía más el fatalismo", porque "desgraciadamente todas las opciones democráticas han perdido protagonismo, el fatalismo crece en las calles del País Vasco al lado del miedo y la crispación" y añade que "con el asesinato de Jesús María Pedrosa ETA retoma la ofensiva contra el PP.
Postion	Tokenization
1	En
2	su
3	editorial
4	,
5	subraya
6	que
7	"
8	esta
9	nueva
10	muerte
11	acentúa
12	todavía
13	más
14	el
15	fatalismo
16	"
17	,
18	porque
19	"
20	desgraciadamente
21	todas
22	las
23	opciones
24	democráticas
25	han
26	perdido
27	protagonismo
28	,
29	el
30	fatalismo
31	crece
32	en
33	las
34	calles
35	del
36	País
37	Vasco
38	al
39	lado
40	del
41	miedo
42	y
43	la
44	crispación
45	"
46	y
47	añade
48	que
49	"
50	con
51	el
52	asesinato
53	de
54	Jesús
55	María
56	Pedrosa
57	ETA
58	retoma
59	la
60	ofensiva
61	contra
62	el
63	PP
64	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	editorial	NOUN	5	obl
4	,	PUNCT	3	punct
5	subraya	VERB	0	root
6	que	SCONJ	11	mark
7	"	PUNCT	11	punct
8	esta	DET	10	det
9	nueva	ADJ	10	amod
10	muerte	NOUN	11	nsubj
11	acentúa	VERB	5	ccomp
12	todavía	ADV	13	advmod
13	más	ADV	11	advmod
14	el	DET	15	det
15	fatalismo	NOUN	11	obj
16	"	PUNCT	11	punct
17	,	PUNCT	26	punct
18	porque	SCONJ	26	mark
19	"	PUNCT	26	punct
20	desgraciadamente	ADV	26	advmod
21	todas	DET	22	det
22	las	DET	23	det
23	opciones	NOUN	26	nsubj
24	democráticas	ADJ	23	amod
25	han	AUX	26	aux
26	perdido	VERB	11	advcl
27	protagonismo	NOUN	26	obj
28	,	PUNCT	26	punct
29	el	DET	30	det
30	fatalismo	NOUN	31	nsubj
31	crece	VERB	26	advcl
32	en	ADP	34	case
33	las	DET	34	det
34	calles	NOUN	31	obl
35	del	ADP	36	case
36	País	PROPN	34	nmod
37	Vasco	PROPN	36	flat
38	al	ADP	41	case
39	lado	NOUN	38	fixed
40	del	ADP	38	fixed
41	miedo	NOUN	31	obl
42	y	CCONJ	44	cc
43	la	DET	44	det
44	crispación	NOUN	41	conj
45	"	PUNCT	26	punct
46	y	CCONJ	47	cc
47	añade	VERB	5	conj
48	que	SCONJ	58	mark
49	"	PUNCT	58	punct
50	con	ADP	52	case
51	el	DET	52	det
52	asesinato	NOUN	58	obl
53	de	ADP	54	case
54	Jesús	PROPN	52	nmod
55	María	PROPN	54	flat
56	Pedrosa	PROPN	54	flat
57	ETA	PROPN	58	nsubj
58	retoma	VERB	47	ccomp
59	la	DET	60	det
60	ofensiva	NOUN	58	obj
61	contra	ADP	63	case
62	el	DET	63	det
63	PP	PROPN	60	nmod
64	.	PUNCT	5	punct