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:
La tenista rusa Anna Kurnikova, una de las jugadoras que mayor admiración despiertan dentro y fuera de las pistas, ha aceptado la propuesta de matrimonio que le ha hecho la estrella profesional de hockey sobre hielo Pavel Bure, también ruso.
Postion	Tokenization
1	La
2	tenista
3	rusa
4	Anna
5	Kurnikova
6	,
7	una
8	de
9	las
10	jugadoras
11	que
12	mayor
13	admiración
14	despiertan
15	dentro
16	y
17	fuera
18	de
19	las
20	pistas
21	,
22	ha
23	aceptado
24	la
25	propuesta
26	de
27	matrimonio
28	que
29	le
30	ha
31	hecho
32	la
33	estrella
34	profesional
35	de
36	hockey
37	sobre
38	hielo
39	Pavel
40	Bure
41	,
42	también
43	ruso
44	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	tenista	NOUN	23	nsubj
3	rusa	ADJ	2	amod
4	Anna	PROPN	2	appos
5	Kurnikova	PROPN	4	flat
6	,	PUNCT	7	punct
7	una	PRON	2	appos
8	de	ADP	10	case
9	las	DET	10	det
10	jugadoras	NOUN	7	nmod
11	que	PRON	14	nsubj
12	mayor	ADJ	13	amod
13	admiración	NOUN	14	obj
14	despiertan	VERB	7	acl
15	dentro	ADV	14	advmod
16	y	CCONJ	17	cc
17	fuera	ADV	15	conj
18	de	ADP	20	case
19	las	DET	20	det
20	pistas	NOUN	15	obl
21	,	PUNCT	7	punct
22	ha	AUX	23	aux
23	aceptado	VERB	0	root
24	la	DET	25	det
25	propuesta	NOUN	23	obj
26	de	ADP	27	case
27	matrimonio	NOUN	25	nmod
28	que	PRON	31	obj
29	le	PRON	31	obj
30	ha	AUX	31	aux
31	hecho	VERB	25	acl
32	la	DET	33	det
33	estrella	NOUN	31	nsubj
34	profesional	ADJ	33	amod
35	de	ADP	36	case
36	hockey	NOUN	33	nmod
37	sobre	ADP	38	case
38	hielo	NOUN	36	nmod
39	Pavel	PROPN	33	appos
40	Bure	PROPN	39	flat
41	,	PUNCT	43	punct
42	también	ADV	43	advmod
43	ruso	ADJ	39	amod
44	.	PUNCT	23	punct