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:
UGT y CCOO pidieron hoy que el recién inaugurado diálogo social aborde los "graves" problemas de precariedad del empleo y una mejor redistribución de la riqueza que se está generando en España.
Postion	Tokenization
1	UGT
2	y
3	CCOO
4	pidieron
5	hoy
6	que
7	el
8	recién
9	inaugurado
10	diálogo
11	social
12	aborde
13	los
14	"
15	graves
16	"
17	problemas
18	de
19	precariedad
20	del
21	empleo
22	y
23	una
24	mejor
25	redistribución
26	de
27	la
28	riqueza
29	que
30	se
31	está
32	generando
33	en
34	España
35	.
Position	Tokenization	UPOS	Head	Deprel
1	UGT	PROPN	4	nsubj
2	y	CCONJ	3	cc
3	CCOO	PROPN	1	conj
4	pidieron	VERB	0	root
5	hoy	ADV	4	advmod
6	que	SCONJ	12	mark
7	el	DET	10	det
8	recién	ADV	9	advmod
9	inaugurado	ADJ	10	amod
10	diálogo	NOUN	12	nsubj
11	social	ADJ	10	amod
12	aborde	VERB	4	ccomp
13	los	DET	17	det
14	"	PUNCT	15	punct
15	graves	ADJ	17	amod
16	"	PUNCT	15	punct
17	problemas	NOUN	12	obj
18	de	ADP	19	case
19	precariedad	NOUN	17	nmod
20	del	ADP	21	case
21	empleo	NOUN	19	nmod
22	y	CCONJ	25	cc
23	una	DET	25	det
24	mejor	ADJ	25	amod
25	redistribución	NOUN	17	conj
26	de	ADP	28	case
27	la	DET	28	det
28	riqueza	NOUN	25	nmod
29	que	PRON	32	nsubj
30	se	PRON	32	expl:pass
31	está	AUX	32	aux
32	generando	VERB	28	acl
33	en	ADP	34	case
34	España	PROPN	32	obl
35	.	PUNCT	4	punct