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:
Jane West, director general del Comité Organizador de los Juegos Paralímpicos de Sydney anunció que se han vendido ya cerca de 980.000 entradas, incluidos los 760.000 pases de día para los distintos acontecimientos deportivos.
Postion	Tokenization
1	Jane
2	West
3	,
4	director
5	general
6	del
7	Comité
8	Organizador
9	de
10	los
11	Juegos
12	Paralímpicos
13	de
14	Sydney
15	anunció
16	que
17	se
18	han
19	vendido
20	ya
21	cerca
22	de
23	980.000
24	entradas
25	,
26	incluidos
27	los
28	760.000
29	pases
30	de
31	día
32	para
33	los
34	distintos
35	acontecimientos
36	deportivos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Jane	PROPN	15	nsubj
2	West	PROPN	1	flat
3	,	PUNCT	4	punct
4	director	NOUN	1	appos
5	general	ADJ	4	amod
6	del	ADP	7	case
7	Comité	PROPN	4	nmod
8	Organizador	PROPN	7	flat
9	de	ADP	11	case
10	los	DET	11	det
11	Juegos	PROPN	7	flat
12	Paralímpicos	PROPN	7	flat
13	de	ADP	14	case
14	Sydney	PROPN	7	flat
15	anunció	VERB	0	root
16	que	SCONJ	19	mark
17	se	PRON	19	expl:pass
18	han	AUX	19	aux
19	vendido	VERB	15	ccomp
20	ya	ADV	19	advmod
21	cerca	ADV	24	advmod
22	de	ADP	21	case
23	980.000	NUM	21	nummod
24	entradas	NOUN	19	nsubj
25	,	PUNCT	26	punct
26	incluidos	VERB	19	advcl
27	los	DET	28	det
28	760.000	NUM	29	nummod
29	pases	NOUN	26	nsubj
30	de	ADP	31	case
31	día	NOUN	29	nmod
32	para	ADP	35	case
33	los	DET	35	det
34	distintos	DET	33	det
35	acontecimientos	NOUN	29	nmod
36	deportivos	ADJ	35	amod
37	.	PUNCT	15	punct