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:
Desde el 17 de mayo de 1997, fecha de entrada en vigor de la reforma laboral, se han registrado 2.430.879 contratos indefinidos e incentivados.
Postion	Tokenization
1	Desde
2	el
3	17
4	de
5	mayo
6	de
7	1997
8	,
9	fecha
10	de
11	entrada
12	en
13	vigor
14	de
15	la
16	reforma
17	laboral
18	,
19	se
20	han
21	registrado
22	2.430.879
23	contratos
24	indefinidos
25	e
26	incentivados
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	17	NUM	21	obl
4	de	ADP	5	case
5	mayo	NOUN	3	compound
6	de	ADP	7	case
7	1997	NUM	3	compound
8	,	PUNCT	9	punct
9	fecha	NOUN	3	appos
10	de	ADP	11	case
11	entrada	NOUN	9	nmod
12	en	ADP	13	case
13	vigor	NOUN	11	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	reforma	NOUN	9	nmod
17	laboral	ADJ	16	amod
18	,	PUNCT	9	punct
19	se	PRON	21	expl:pass
20	han	AUX	21	aux
21	registrado	VERB	0	root
22	2.430.879	NUM	23	nummod
23	contratos	NOUN	21	nsubj
24	indefinidos	ADJ	23	amod
25	e	CCONJ	26	cc
26	incentivados	ADJ	24	conj
27	.	PUNCT	21	punct