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:
Además, Triadú anunció que la Generalitat impulsará nuevos portales de Internet con vocación de liderazgo europeo, como un portal de temática sanitaria, que contará con el apoyo de la Corporación Catalana de Radio y Televisión y el Centro de Telecomunicaciones de la Generalitat y que supondrá una inversión de 1.000 millones de pesetas.
Postion	Tokenization
1	Además
2	,
3	Triadú
4	anunció
5	que
6	la
7	Generalitat
8	impulsará
9	nuevos
10	portales
11	de
12	Internet
13	con
14	vocación
15	de
16	liderazgo
17	europeo
18	,
19	como
20	un
21	portal
22	de
23	temática
24	sanitaria
25	,
26	que
27	contará
28	con
29	el
30	apoyo
31	de
32	la
33	Corporación
34	Catalana
35	de
36	Radio
37	y
38	Televisión
39	y
40	el
41	Centro
42	de
43	Telecomunicaciones
44	de
45	la
46	Generalitat
47	y
48	que
49	supondrá
50	una
51	inversión
52	de
53	1.000
54	millones
55	de
56	pesetas
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	4	advmod
2	,	PUNCT	1	punct
3	Triadú	PROPN	4	nsubj
4	anunció	VERB	0	root
5	que	SCONJ	8	mark
6	la	DET	7	det
7	Generalitat	PROPN	8	nsubj
8	impulsará	VERB	4	ccomp
9	nuevos	ADJ	10	amod
10	portales	NOUN	8	obj
11	de	ADP	12	case
12	Internet	PROPN	10	nmod
13	con	ADP	14	case
14	vocación	NOUN	10	nmod
15	de	ADP	16	case
16	liderazgo	NOUN	14	nmod
17	europeo	ADJ	16	amod
18	,	PUNCT	21	punct
19	como	SCONJ	21	mark
20	un	DET	21	det
21	portal	NOUN	10	nmod
22	de	ADP	23	case
23	temática	NOUN	21	nmod
24	sanitaria	ADJ	23	amod
25	,	PUNCT	27	punct
26	que	PRON	27	nsubj
27	contará	VERB	21	acl
28	con	ADP	30	case
29	el	DET	30	det
30	apoyo	NOUN	27	obj
31	de	ADP	33	case
32	la	DET	33	det
33	Corporación	PROPN	30	nmod
34	Catalana	PROPN	33	flat
35	de	ADP	36	case
36	Radio	PROPN	33	flat
37	y	CCONJ	38	cc
38	Televisión	PROPN	33	conj
39	y	CCONJ	41	cc
40	el	DET	41	det
41	Centro	PROPN	33	conj
42	de	ADP	43	case
43	Telecomunicaciones	PROPN	41	flat
44	de	ADP	46	case
45	la	DET	46	det
46	Generalitat	PROPN	41	flat
47	y	CCONJ	49	cc
48	que	PRON	49	nsubj
49	supondrá	VERB	27	conj
50	una	DET	51	det
51	inversión	NOUN	49	obj
52	de	ADP	54	case
53	1.000	NUM	54	nummod
54	millones	NOUN	51	nmod
55	de	ADP	56	case
56	pesetas	NOUN	54	nmod
57	.	PUNCT	4	punct