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 Care "compromete" al desempleado a efectuar una "búsqueda activa de empleo, a presentarse a los retos profesionales que se le propongan y a entrevistas bimensuales".
Postion	Tokenization
1	El
2	Care
3	"
4	compromete
5	"
6	al
7	desempleado
8	a
9	efectuar
10	una
11	"
12	búsqueda
13	activa
14	de
15	empleo
16	,
17	a
18	presentarse
19	presentar
20	se
21	a
22	los
23	retos
24	profesionales
25	que
26	se
27	le
28	propongan
29	y
30	a
31	entrevistas
32	bimensuales
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Care	PROPN	4	nsubj
3	"	PUNCT	4	punct
4	compromete	VERB	0	root
5	"	PUNCT	4	punct
6	al	ADP	7	case
7	desempleado	NOUN	4	iobj
8	a	ADP	9	mark
9	efectuar	VERB	4	xcomp
10	una	DET	12	det
11	"	PUNCT	12	punct
12	búsqueda	NOUN	9	obj
13	activa	ADJ	12	amod
14	de	ADP	15	case
15	empleo	NOUN	12	nmod
16	,	PUNCT	18	punct
17	a	ADP	18	mark
18	presentarse	_	None	_
19	presentar	VERB	9	conj
20	se	PRON	18	expl:pass
21	a	ADP	22	case
22	los	DET	22	det
23	retos	NOUN	18	obl
24	profesionales	ADJ	22	amod
25	que	PRON	27	nsubj
26	se	PRON	27	expl:pass
27	le	PRON	27	obj
28	propongan	VERB	22	acl
29	y	CCONJ	30	cc
30	a	ADP	30	case
31	entrevistas	NOUN	22	conj
32	bimensuales	ADJ	30	amod
33	"	PUNCT	4	punct
34	.	PUNCT	4	punct