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:
Triadú destacó la buena salud de Internet en Cataluña y consideró muy positivo iniciativas como la llegada de Terra a Barcelona para consolidar este nuevo sector.
Postion	Tokenization
1	Triadú
2	destacó
3	la
4	buena
5	salud
6	de
7	Internet
8	en
9	Cataluña
10	y
11	consideró
12	muy
13	positivo
14	iniciativas
15	como
16	la
17	llegada
18	de
19	Terra
20	a
21	Barcelona
22	para
23	consolidar
24	este
25	nuevo
26	sector
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Triadú	PROPN	2	nsubj
2	destacó	VERB	0	root
3	la	DET	5	det
4	buena	ADJ	5	amod
5	salud	NOUN	2	obj
6	de	ADP	7	case
7	Internet	PROPN	5	nmod
8	en	ADP	9	case
9	Cataluña	PROPN	5	nmod
10	y	CCONJ	11	cc
11	consideró	VERB	2	conj
12	muy	ADV	13	advmod
13	positivo	ADJ	11	obj
14	iniciativas	NOUN	11	obj
15	como	SCONJ	17	mark
16	la	DET	17	det
17	llegada	NOUN	14	nmod
18	de	ADP	19	case
19	Terra	PROPN	17	nmod
20	a	ADP	21	case
21	Barcelona	PROPN	17	nmod
22	para	ADP	23	mark
23	consolidar	VERB	14	acl
24	este	DET	26	det
25	nuevo	ADJ	26	amod
26	sector	NOUN	23	obj
27	.	PUNCT	2	punct