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:
"Antes que nada necesito recuperarme al ciento por ciento físicamente para poder competir con jugadores que son más grandes y más fuertes", explicó Agassi.
Postion	Tokenization
1	"
2	Antes
3	que
4	nada
5	necesito
6	recuperarme
7	recuperar
8	me
9	al
10	ciento
11	por
12	ciento
13	físicamente
14	para
15	poder
16	competir
17	con
18	jugadores
19	que
20	son
21	más
22	grandes
23	y
24	más
25	fuertes
26	"
27	,
28	explicó
29	Agassi
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Antes	ADV	5	advmod
3	que	SCONJ	2	fixed
4	nada	NOUN	2	fixed
5	necesito	VERB	27	ccomp
6	recuperarme	_	None	_
7	recuperar	VERB	5	xcomp
8	me	PRON	6	expl:pv
9	al	ADP	6	advmod
10	ciento	NUM	8	fixed
11	por	ADP	8	fixed
12	ciento	NUM	8	fixed
13	físicamente	ADV	6	advmod
14	para	ADP	15	mark
15	poder	AUX	15	aux
16	competir	VERB	6	advcl
17	con	ADP	17	case
18	jugadores	NOUN	15	obl
19	que	PRON	21	nsubj
20	son	AUX	21	cop
21	más	ADV	21	advmod
22	grandes	ADJ	17	acl
23	y	CCONJ	24	cc
24	más	ADV	24	advmod
25	fuertes	ADJ	21	conj
26	"	PUNCT	5	punct
27	,	PUNCT	5	punct
28	explicó	VERB	0	root
29	Agassi	PROPN	27	nsubj
30	.	PUNCT	27	punct