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:
Avanzó también la estadounidense Jennifer Capriati, que con su victoria sobre la suiza Patty Schnyder (6-3, 4-6 y 6-1) volvió a los cuartos de final de un grande después de siete años.
Postion	Tokenization
1	Avanzó
2	también
3	la
4	estadounidense
5	Jennifer
6	Capriati
7	,
8	que
9	con
10	su
11	victoria
12	sobre
13	la
14	suiza
15	Patty
16	Schnyder
17	(
18	6-3
19	,
20	4-6
21	y
22	6-1
23	)
24	volvió
25	a
26	los
27	cuartos
28	de
29	final
30	de
31	un
32	grande
33	después
34	de
35	siete
36	años
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Avanzó	VERB	0	root
2	también	ADV	1	advmod
3	la	DET	4	det
4	estadounidense	NOUN	1	nsubj
5	Jennifer	PROPN	4	appos
6	Capriati	PROPN	5	flat
7	,	PUNCT	24	punct
8	que	PRON	24	nsubj
9	con	ADP	11	case
10	su	DET	11	det
11	victoria	NOUN	24	obl
12	sobre	ADP	14	case
13	la	DET	14	det
14	suiza	NOUN	11	nmod
15	Patty	PROPN	14	appos
16	Schnyder	PROPN	15	flat
17	(	PUNCT	18	punct
18	6-3	NUM	11	appos
19	,	PUNCT	20	punct
20	4-6	NUM	18	conj
21	y	CCONJ	22	cc
22	6-1	NUM	18	conj
23	)	PUNCT	18	punct
24	volvió	VERB	4	acl
25	a	ADP	27	case
26	los	DET	27	det
27	cuartos	NOUN	24	obl
28	de	ADP	29	case
29	final	NOUN	27	nmod
30	de	ADP	32	case
31	un	DET	32	det
32	grande	ADJ	27	amod
33	después	ADV	24	advmod
34	de	ADP	36	case
35	siete	NUM	36	nummod
36	años	NOUN	33	obl
37	.	PUNCT	1	punct