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:
El tenista estadounidense tuvo su primera victoria frente al británico Greg Rusedski en la primera ronda de Wimbledon y la segunda ante el español Sergi Bruguera en el torneo de Gstaad.
Postion	Tokenization
1	El
2	tenista
3	estadounidense
4	tuvo
5	su
6	primera
7	victoria
8	frente
9	al
10	británico
11	Greg
12	Rusedski
13	en
14	la
15	primera
16	ronda
17	de
18	Wimbledon
19	y
20	la
21	segunda
22	ante
23	el
24	español
25	Sergi
26	Bruguera
27	en
28	el
29	torneo
30	de
31	Gstaad
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	tenista	NOUN	4	nsubj
3	estadounidense	ADJ	2	amod
4	tuvo	VERB	0	root
5	su	DET	7	det
6	primera	ADJ	7	amod
7	victoria	NOUN	4	obj
8	frente	NOUN	10	case
9	al	ADP	8	fixed
10	británico	NOUN	4	obl
11	Greg	PROPN	10	appos
12	Rusedski	PROPN	11	flat
13	en	ADP	16	case
14	la	DET	16	det
15	primera	ADJ	16	amod
16	ronda	NOUN	4	obl
17	de	ADP	18	case
18	Wimbledon	PROPN	16	nmod
19	y	CCONJ	21	cc
20	la	DET	21	det
21	segunda	ADJ	4	conj
22	ante	ADP	24	case
23	el	DET	24	det
24	español	NOUN	21	nmod
25	Sergi	PROPN	24	appos
26	Bruguera	PROPN	25	flat
27	en	ADP	29	case
28	el	DET	29	det
29	torneo	NOUN	21	nmod
30	de	ADP	31	case
31	Gstaad	PROPN	29	nmod
32	.	PUNCT	4	punct