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:
Con esta normativa, el Gobierno intenta reducir las más de 4.000 muertes que cada año se producen en los yacimientos de carbón del país, la mayoría de los cuales operan sin las mínimas medidas de seguridad, debido sobre todo a los malos resultados del sector, y algunos incluso son ilegales.
Postion	Tokenization
1	Con
2	esta
3	normativa
4	,
5	el
6	Gobierno
7	intenta
8	reducir
9	las
10	más
11	de
12	4.000
13	muertes
14	que
15	cada
16	año
17	se
18	producen
19	en
20	los
21	yacimientos
22	de
23	carbón
24	del
25	país
26	,
27	la
28	mayoría
29	de
30	los
31	cuales
32	operan
33	sin
34	las
35	mínimas
36	medidas
37	de
38	seguridad
39	,
40	debido
41	sobre
42	todo
43	a
44	los
45	malos
46	resultados
47	del
48	sector
49	,
50	y
51	algunos
52	incluso
53	son
54	ilegales
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	esta	DET	3	det
3	normativa	NOUN	7	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	Gobierno	PROPN	7	nsubj
7	intenta	VERB	0	root
8	reducir	VERB	7	xcomp
9	las	DET	12	det
10	más	ADV	12	advmod
11	de	ADP	12	case
12	4.000	NUM	13	nummod
13	muertes	NOUN	8	obj
14	que	PRON	18	nsubj
15	cada	DET	16	det
16	año	NOUN	18	obl
17	se	PRON	18	expl:pv
18	producen	VERB	13	acl
19	en	ADP	21	case
20	los	DET	21	det
21	yacimientos	NOUN	18	obl
22	de	ADP	23	case
23	carbón	NOUN	21	nmod
24	del	ADP	25	case
25	país	NOUN	21	nmod
26	,	PUNCT	32	punct
27	la	DET	28	det
28	mayoría	NOUN	32	nsubj
29	de	ADP	31	case
30	los	DET	31	det
31	cuales	PRON	28	nmod
32	operan	VERB	21	acl
33	sin	ADP	36	case
34	las	DET	36	det
35	mínimas	ADJ	36	amod
36	medidas	NOUN	32	obl
37	de	ADP	38	case
38	seguridad	NOUN	36	nmod
39	,	PUNCT	40	punct
40	debido	ADJ	32	advmod
41	sobre	ADP	40	obj
42	todo	PRON	41	fixed
43	a	ADP	41	case
44	los	DET	46	det
45	malos	ADJ	46	amod
46	resultados	NOUN	41	nmod
47	del	ADP	48	case
48	sector	NOUN	46	nmod
49	,	PUNCT	40	punct
50	y	CCONJ	54	cc
51	algunos	PRON	54	nsubj
52	incluso	ADV	54	advmod
53	son	AUX	54	cop
54	ilegales	ADJ	32	conj
55	.	PUNCT	7	punct