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:
Aznar sólo le garantizó que, aunque no se oponga frontalmente a su estrategia, tampoco accederá a esta petición hasta que EH pida a ETA que no vuelva a matar.
Postion	Tokenization
1	Aznar
2	sólo
3	le
4	garantizó
5	que
6	,
7	aunque
8	no
9	se
10	oponga
11	frontalmente
12	a
13	su
14	estrategia
15	,
16	tampoco
17	accederá
18	a
19	esta
20	petición
21	hasta
22	que
23	EH
24	pida
25	a
26	ETA
27	que
28	no
29	vuelva
30	a
31	matar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Aznar	PROPN	4	nsubj
2	sólo	ADV	4	advmod
3	le	PRON	4	iobj
4	garantizó	VERB	0	root
5	que	SCONJ	17	mark
6	,	PUNCT	10	punct
7	aunque	SCONJ	10	mark
8	no	ADV	10	advmod
9	se	PRON	10	expl:pv
10	oponga	VERB	17	advcl
11	frontalmente	ADV	10	advmod
12	a	ADP	14	case
13	su	DET	14	det
14	estrategia	NOUN	10	obj
15	,	PUNCT	10	punct
16	tampoco	ADV	17	advmod
17	accederá	VERB	4	ccomp
18	a	ADP	20	case
19	esta	DET	20	det
20	petición	NOUN	17	obj
21	hasta	ADP	24	mark
22	que	SCONJ	24	mark
23	EH	PROPN	24	nsubj
24	pida	VERB	17	advcl
25	a	ADP	26	case
26	ETA	PROPN	24	iobj
27	que	SCONJ	29	mark
28	no	ADV	29	advmod
29	vuelva	VERB	24	xcomp
30	a	ADP	31	mark
31	matar	VERB	29	xcomp
32	.	PUNCT	4	punct