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:
CCOO valoró la reducción del paro pero reiteró la necesidad de que el diálogo social aborde con carácter prioritario una mejor redistribución de la riqueza que se está generando.
Postion	Tokenization
1	CCOO
2	valoró
3	la
4	reducción
5	del
6	paro
7	pero
8	reiteró
9	la
10	necesidad
11	de
12	que
13	el
14	diálogo
15	social
16	aborde
17	con
18	carácter
19	prioritario
20	una
21	mejor
22	redistribución
23	de
24	la
25	riqueza
26	que
27	se
28	está
29	generando
30	.
Position	Tokenization	UPOS	Head	Deprel
1	CCOO	PROPN	2	nsubj
2	valoró	VERB	0	root
3	la	DET	4	det
4	reducción	NOUN	2	obj
5	del	ADP	6	case
6	paro	NOUN	4	nmod
7	pero	CCONJ	8	cc
8	reiteró	VERB	2	conj
9	la	DET	10	det
10	necesidad	NOUN	8	obj
11	de	ADP	16	mark
12	que	SCONJ	16	mark
13	el	DET	14	det
14	diálogo	NOUN	16	nsubj
15	social	ADJ	14	amod
16	aborde	VERB	10	acl
17	con	ADP	18	case
18	carácter	NOUN	16	obl
19	prioritario	ADJ	18	amod
20	una	DET	22	det
21	mejor	ADJ	22	amod
22	redistribución	NOUN	16	obj
23	de	ADP	25	case
24	la	DET	25	det
25	riqueza	NOUN	22	nmod
26	que	PRON	29	nsubj
27	se	PRON	29	expl:pass
28	está	AUX	29	aux
29	generando	VERB	25	acl
30	.	PUNCT	2	punct