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:
El secretario general de UGT, Cándido Méndez, pidió hoy "hablar" con el Gobierno para "cambiar las normas en materia de protección social por desempleo para mejorarlas" ya que, matizó, éstas son "duras, injustas y excluyentes con los parados de larga duración y con los jóvenes".
Postion	Tokenization
1	El
2	secretario
3	general
4	de
5	UGT
6	,
7	Cándido
8	Méndez
9	,
10	pidió
11	hoy
12	"
13	hablar
14	"
15	con
16	el
17	Gobierno
18	para
19	"
20	cambiar
21	las
22	normas
23	en
24	materia
25	de
26	protección
27	social
28	por
29	desempleo
30	para
31	mejorarlas
32	mejorar
33	las
34	"
35	ya
36	que
37	,
38	matizó
39	,
40	éstas
41	son
42	"
43	duras
44	,
45	injustas
46	y
47	excluyentes
48	con
49	los
50	parados
51	de
52	larga
53	duración
54	y
55	con
56	los
57	jóvenes
58	"
59	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	10	nsubj
3	general	ADJ	2	amod
4	de	ADP	5	case
5	UGT	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Cándido	PROPN	2	appos
8	Méndez	PROPN	7	flat
9	,	PUNCT	7	punct
10	pidió	VERB	0	root
11	hoy	ADV	10	advmod
12	"	PUNCT	13	punct
13	hablar	VERB	10	xcomp
14	"	PUNCT	13	punct
15	con	ADP	17	case
16	el	DET	17	det
17	Gobierno	PROPN	13	obj
18	para	ADP	20	mark
19	"	PUNCT	20	punct
20	cambiar	VERB	10	advcl
21	las	DET	22	det
22	normas	NOUN	20	obj
23	en	ADP	26	case
24	materia	NOUN	23	fixed
25	de	ADP	23	fixed
26	protección	NOUN	22	nmod
27	social	ADJ	26	amod
28	por	ADP	29	case
29	desempleo	NOUN	26	nmod
30	para	ADP	31	mark
31	mejorarlas	_	None	_
32	mejorar	VERB	42	advcl
33	las	PRON	31	obj
34	"	PUNCT	31	punct
35	ya	ADV	20	mark
36	que	SCONJ	34	fixed
37	,	PUNCT	37	punct
38	matizó	VERB	42	parataxis
39	,	PUNCT	37	punct
40	éstas	PRON	20	nsubj
41	son	AUX	42	cop
42	"	PUNCT	42	punct
43	duras	ADJ	20	xcomp
44	,	PUNCT	44	punct
45	injustas	ADJ	42	conj
46	y	CCONJ	46	cc
47	excluyentes	ADJ	42	conj
48	con	ADP	49	case
49	los	DET	49	det
50	parados	ADJ	42	amod
51	de	ADP	52	case
52	larga	ADJ	52	amod
53	duración	NOUN	49	nmod
54	y	CCONJ	56	cc
55	con	ADP	56	case
56	los	DET	56	det
57	jóvenes	NOUN	49	conj
58	"	PUNCT	20	punct
59	.	PUNCT	10	punct