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:
En cuanto a las posibles consecuencias que tendría en materia de empleo, el titular de Trabajo manifestó que implantar una ley para que en España haya una jornada laboral de 35 horas semanales "no es bueno", aunque precisó que "todavía es incipiente lo que conocemos y desde el respeto habrá que estudiarlo detenidamente".
Postion	Tokenization
1	En
2	cuanto
3	a
4	las
5	posibles
6	consecuencias
7	que
8	tendría
9	en
10	materia
11	de
12	empleo
13	,
14	el
15	titular
16	de
17	Trabajo
18	manifestó
19	que
20	implantar
21	una
22	ley
23	para
24	que
25	en
26	España
27	haya
28	una
29	jornada
30	laboral
31	de
32	35
33	horas
34	semanales
35	"
36	no
37	es
38	bueno
39	"
40	,
41	aunque
42	precisó
43	que
44	"
45	todavía
46	es
47	incipiente
48	lo
49	que
50	conocemos
51	y
52	desde
53	el
54	respeto
55	habrá
56	que
57	estudiarlo
58	estudiar
59	lo
60	detenidamente
61	"
62	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	6	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	las	DET	6	det
5	posibles	ADJ	6	amod
6	consecuencias	NOUN	18	obl
7	que	PRON	8	obj
8	tendría	VERB	6	acl
9	en	ADP	12	case
10	materia	NOUN	9	fixed
11	de	ADP	9	fixed
12	empleo	NOUN	8	obl
13	,	PUNCT	6	punct
14	el	DET	15	det
15	titular	NOUN	18	nsubj
16	de	ADP	17	case
17	Trabajo	PROPN	15	nmod
18	manifestó	VERB	0	root
19	que	SCONJ	38	mark
20	implantar	VERB	38	csubj
21	una	DET	22	det
22	ley	NOUN	20	obj
23	para	ADP	27	mark
24	que	SCONJ	27	mark
25	en	ADP	26	case
26	España	PROPN	27	obl
27	haya	AUX	22	acl
28	una	DET	29	det
29	jornada	NOUN	27	obj
30	laboral	ADJ	29	amod
31	de	ADP	33	case
32	35	NUM	33	nummod
33	horas	NOUN	29	nmod
34	semanales	ADJ	33	amod
35	"	PUNCT	38	punct
36	no	ADV	38	advmod
37	es	AUX	38	cop
38	bueno	ADJ	18	ccomp
39	"	PUNCT	38	punct
40	,	PUNCT	42	punct
41	aunque	SCONJ	42	mark
42	precisó	VERB	18	advcl
43	que	SCONJ	47	mark
44	"	PUNCT	47	punct
45	todavía	ADV	47	advmod
46	es	AUX	47	cop
47	incipiente	ADJ	42	ccomp
48	lo	PRON	50	det
49	que	PRON	50	obj
50	conocemos	VERB	47	csubj
51	y	CCONJ	55	cc
52	desde	ADP	54	case
53	el	DET	54	det
54	respeto	NOUN	57	obl
55	habrá	AUX	47	conj
56	que	SCONJ	57	cc
57	estudiarlo	_	None	_
58	estudiar	VERB	55	conj
59	lo	PRON	57	obj
60	detenidamente	ADV	57	advmod
61	"	PUNCT	18	punct
62	.	PUNCT	18	punct