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:
Sólo Carles Rexach, siempre el más valiente, se atrevió ayer a contestar a la pregunta sobre el porcentaje de posibilidades que tiene el Barça de clasificarse.
Postion	Tokenization
1	Sólo
2	Carles
3	Rexach
4	,
5	siempre
6	el
7	más
8	valiente
9	,
10	se
11	atrevió
12	ayer
13	a
14	contestar
15	a
16	la
17	pregunta
18	sobre
19	el
20	porcentaje
21	de
22	posibilidades
23	que
24	tiene
25	el
26	Barça
27	de
28	clasificarse
29	clasificar
30	se
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Sólo	ADV	2	advmod
2	Carles	PROPN	11	nsubj
3	Rexach	PROPN	2	flat
4	,	PUNCT	8	punct
5	siempre	ADV	8	advmod
6	el	DET	8	det
7	más	ADV	8	advmod
8	valiente	ADJ	2	appos
9	,	PUNCT	8	punct
10	se	PRON	11	expl:pv
11	atrevió	VERB	0	root
12	ayer	ADV	11	advmod
13	a	ADP	14	mark
14	contestar	VERB	11	xcomp
15	a	ADP	17	case
16	la	DET	17	det
17	pregunta	NOUN	14	obj
18	sobre	ADP	20	case
19	el	DET	20	det
20	porcentaje	NOUN	17	nmod
21	de	ADP	22	case
22	posibilidades	NOUN	20	nmod
23	que	PRON	24	obj
24	tiene	VERB	22	acl
25	el	DET	26	det
26	Barça	PROPN	24	nsubj
27	de	ADP	28	mark
28	clasificarse	_	None	_
29	clasificar	VERB	22	acl
30	se	PRON	28	expl:pv
31	.	PUNCT	11	punct