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:
Sin avalar a priori los planteamientos de Ibarretxe, Aznar le dio un voto de confianza condicionado a que ETA no mate de nuevo.
Postion	Tokenization
1	Sin
2	avalar
3	a
4	priori
5	los
6	planteamientos
7	de
8	Ibarretxe
9	,
10	Aznar
11	le
12	dio
13	un
14	voto
15	de
16	confianza
17	condicionado
18	a
19	que
20	ETA
21	no
22	mate
23	de
24	nuevo
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	2	mark
2	avalar	VERB	12	advcl
3	a	ADP	2	advmod
4	priori	NOUN	3	fixed
5	los	DET	6	det
6	planteamientos	NOUN	2	obj
7	de	ADP	8	case
8	Ibarretxe	PROPN	6	nmod
9	,	PUNCT	2	punct
10	Aznar	PROPN	12	nsubj
11	le	PRON	12	obj
12	dio	VERB	0	root
13	un	DET	14	det
14	voto	NOUN	12	obj
15	de	ADP	16	case
16	confianza	NOUN	14	nmod
17	condicionado	ADJ	14	amod
18	a	ADP	22	mark
19	que	SCONJ	22	mark
20	ETA	PROPN	22	nsubj
21	no	ADV	22	advmod
22	mate	VERB	17	ccomp
23	de	ADP	22	advmod
24	nuevo	ADJ	23	fixed
25	.	PUNCT	12	punct