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:
Pese a todo, Mato admitió que es necesario reducir la temporalidad y luchar contra la siniestralidad laboral, para lo que considera imprescindible que los sindicatos y empresarios lleguen pronto a acuerdos concretos.
Postion	Tokenization
1	Pese
2	a
3	todo
4	,
5	Mato
6	admitió
7	que
8	es
9	necesario
10	reducir
11	la
12	temporalidad
13	y
14	luchar
15	contra
16	la
17	siniestralidad
18	laboral
19	,
20	para
21	lo
22	que
23	considera
24	imprescindible
25	que
26	los
27	sindicatos
28	y
29	empresarios
30	lleguen
31	pronto
32	a
33	acuerdos
34	concretos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	3	case
2	a	ADP	1	fixed
3	todo	PRON	6	obl
4	,	PUNCT	3	punct
5	Mato	PROPN	6	nsubj
6	admitió	VERB	0	root
7	que	SCONJ	9	mark
8	es	AUX	9	cop
9	necesario	ADJ	6	ccomp
10	reducir	VERB	9	csubj
11	la	DET	12	det
12	temporalidad	NOUN	10	obj
13	y	CCONJ	14	cc
14	luchar	VERB	10	conj
15	contra	ADP	17	case
16	la	DET	17	det
17	siniestralidad	NOUN	14	obj
18	laboral	ADJ	17	amod
19	,	PUNCT	23	punct
20	para	ADP	22	case
21	lo	PRON	22	det
22	que	PRON	23	obl
23	considera	VERB	10	advcl
24	imprescindible	ADJ	23	iobj
25	que	SCONJ	30	mark
26	los	DET	27	det
27	sindicatos	NOUN	30	nsubj
28	y	CCONJ	29	cc
29	empresarios	NOUN	27	conj
30	lleguen	VERB	23	ccomp
31	pronto	ADV	30	advmod
32	a	ADP	33	case
33	acuerdos	NOUN	30	obj
34	concretos	ADJ	33	amod
35	.	PUNCT	6	punct