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:
En el cuadro femenino, la japonesa Ai Sugiyama destrozó con sus golpes de fondo la frágil moral de la francesa Mary Pierce (4), campeona en 1995, por 7-5 y 6-4, mientras que la estadounidense Lindsay Davenport acabó con la novia de Philippoussis en este torneo, la rusa Anna Kournikova, por 6-4 y 6-3.
Postion	Tokenization
1	En
2	el
3	cuadro
4	femenino
5	,
6	la
7	japonesa
8	Ai
9	Sugiyama
10	destrozó
11	con
12	sus
13	golpes
14	de
15	fondo
16	la
17	frágil
18	moral
19	de
20	la
21	francesa
22	Mary
23	Pierce
24	(
25	4
26	)
27	,
28	campeona
29	en
30	1995
31	,
32	por
33	7-5
34	y
35	6-4
36	,
37	mientras
38	que
39	la
40	estadounidense
41	Lindsay
42	Davenport
43	acabó
44	con
45	la
46	novia
47	de
48	Philippoussis
49	en
50	este
51	torneo
52	,
53	la
54	rusa
55	Anna
56	Kournikova
57	,
58	por
59	6-4
60	y
61	6-3
62	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	cuadro	NOUN	10	obl
4	femenino	ADJ	3	amod
5	,	PUNCT	3	punct
6	la	DET	8	det
7	japonesa	ADJ	8	amod
8	Ai	PROPN	10	nsubj
9	Sugiyama	PROPN	8	flat
10	destrozó	VERB	37	parataxis
11	con	ADP	13	case
12	sus	DET	13	det
13	golpes	NOUN	10	obl
14	de	ADP	15	case
15	fondo	NOUN	13	nmod
16	la	DET	18	det
17	frágil	ADJ	18	amod
18	moral	NOUN	10	obj
19	de	ADP	22	case
20	la	DET	22	det
21	francesa	ADJ	22	amod
22	Mary	PROPN	18	nmod
23	Pierce	PROPN	22	flat
24	(	PUNCT	25	punct
25	4	NUM	22	appos
26	)	PUNCT	25	punct
27	,	PUNCT	28	punct
28	campeona	NOUN	22	appos
29	en	ADP	30	case
30	1995	NOUN	28	nmod
31	,	PUNCT	28	punct
32	por	ADP	33	case
33	7-5	NUM	10	obl
34	y	CCONJ	35	cc
35	6-4	NUM	33	conj
36	,	PUNCT	37	punct
37	mientras	CCONJ	0	root
38	que	SCONJ	37	fixed
39	la	DET	40	det
40	estadounidense	NOUN	43	nsubj
41	Lindsay	PROPN	40	appos
42	Davenport	PROPN	41	flat
43	acabó	VERB	37	parataxis
44	con	ADP	46	case
45	la	DET	46	det
46	novia	NOUN	43	obj
47	de	ADP	48	case
48	Philippoussis	PROPN	46	nmod
49	en	ADP	51	case
50	este	DET	51	det
51	torneo	NOUN	46	nmod
52	,	PUNCT	54	punct
53	la	DET	54	det
54	rusa	NOUN	46	appos
55	Anna	PROPN	54	appos
56	Kournikova	PROPN	55	flat
57	,	PUNCT	54	punct
58	por	ADP	59	case
59	6-4	NUM	43	obl
60	y	CCONJ	61	cc
61	6-3	NUM	59	conj
62	.	PUNCT	37	punct