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 cuanto a la repercusión que ha tenido el oro olímpico conseguido en Sydney, la judoca comentó aquí se la había dado mucho valor por ser la primera que el equipo español lograba en los Juegos.
Postion	Tokenization
1	En
2	cuanto
3	a
4	la
5	repercusión
6	que
7	ha
8	tenido
9	el
10	oro
11	olímpico
12	conseguido
13	en
14	Sydney
15	,
16	la
17	judoca
18	comentó
19	aquí
20	se
21	la
22	había
23	dado
24	mucho
25	valor
26	por
27	ser
28	la
29	primera
30	que
31	el
32	equipo
33	español
34	lograba
35	en
36	los
37	Juegos
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	la	DET	5	det
5	repercusión	NOUN	18	obl
6	que	PRON	8	obj
7	ha	AUX	8	aux
8	tenido	VERB	5	acl
9	el	DET	10	det
10	oro	NOUN	8	nsubj
11	olímpico	ADJ	10	amod
12	conseguido	ADJ	10	amod
13	en	ADP	14	case
14	Sydney	PROPN	12	obl
15	,	PUNCT	5	punct
16	la	DET	17	det
17	judoca	NOUN	18	nsubj
18	comentó	VERB	0	root
19	aquí	ADV	23	advmod
20	se	PRON	23	expl:pass
21	la	PRON	23	obj
22	había	AUX	23	aux
23	dado	VERB	18	ccomp
24	mucho	DET	25	det
25	valor	NOUN	23	nsubj
26	por	ADP	27	mark
27	ser	AUX	23	advcl
28	la	DET	34	det
29	primera	ADJ	34	amod
30	que	PRON	34	obj
31	el	DET	32	det
32	equipo	NOUN	34	nsubj
33	español	ADJ	32	amod
34	lograba	VERB	27	ccomp
35	en	ADP	37	case
36	los	DET	37	det
37	Juegos	PROPN	34	obl
38	.	PUNCT	18	punct