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:
Según explicó el coordinador del área pública de CCOO, Juan Carles Gallego, la oferta de la Generalitat prevé además incrementar un 0,6% el sueldo en los próximos tres años.
Postion	Tokenization
1	Según
2	explicó
3	el
4	coordinador
5	del
6	área
7	pública
8	de
9	CCOO
10	,
11	Juan
12	Carles
13	Gallego
14	,
15	la
16	oferta
17	de
18	la
19	Generalitat
20	prevé
21	además
22	incrementar
23	un
24	0,6%
25	el
26	sueldo
27	en
28	los
29	próximos
30	tres
31	años
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	explicó	VERB	20	advcl
3	el	DET	4	det
4	coordinador	NOUN	2	nsubj
5	del	ADP	6	case
6	área	NOUN	4	nmod
7	pública	ADJ	6	amod
8	de	ADP	9	case
9	CCOO	PROPN	4	nmod
10	,	PUNCT	11	punct
11	Juan	PROPN	4	appos
12	Carles	PROPN	11	flat
13	Gallego	PROPN	11	flat
14	,	PUNCT	11	punct
15	la	DET	16	det
16	oferta	NOUN	20	nsubj
17	de	ADP	19	case
18	la	DET	19	det
19	Generalitat	PROPN	16	nmod
20	prevé	VERB	0	root
21	además	ADV	20	advmod
22	incrementar	VERB	20	xcomp
23	un	DET	24	det
24	0,6%	SYM	22	obj
25	el	DET	26	det
26	sueldo	NOUN	22	obj
27	en	ADP	31	case
28	los	DET	31	det
29	próximos	ADJ	28	amod
30	tres	NUM	28	nummod
31	años	NOUN	22	obl
32	.	PUNCT	20	punct