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:
De los 107.256 contratos de trabajo indefinidos del pasado mayo, 80.206 se realizaron al amparo de la reforma laboral, de los que 57.280 fueron a tiempo completo y 22.926 a tiempo parcial.
Postion	Tokenization
1	De
2	los
3	107.256
4	contratos
5	de
6	trabajo
7	indefinidos
8	del
9	pasado
10	mayo
11	,
12	80.206
13	se
14	realizaron
15	al
16	amparo
17	de
18	la
19	reforma
20	laboral
21	,
22	de
23	los
24	que
25	57.280
26	fueron
27	a
28	tiempo
29	completo
30	y
31	22.926
32	a
33	tiempo
34	parcial
35	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	4	case
2	los	DET	3	det
3	107.256	NUM	4	nummod
4	contratos	NOUN	12	nmod
5	de	ADP	6	case
6	trabajo	NOUN	4	nmod
7	indefinidos	ADJ	4	amod
8	del	ADP	9	case
9	pasado	NOUN	4	nmod
10	mayo	NOUN	9	compound
11	,	PUNCT	4	punct
12	80.206	NUM	14	nsubj
13	se	PRON	14	expl:pass
14	realizaron	VERB	0	root
15	al	ADP	16	case
16	amparo	NOUN	14	obl
17	de	ADP	19	case
18	la	DET	19	det
19	reforma	NOUN	16	nmod
20	laboral	ADJ	19	amod
21	,	PUNCT	28	punct
22	de	ADP	24	case
23	los	DET	24	det
24	que	PRON	28	obl
25	57.280	NUM	28	nsubj
26	fueron	AUX	28	cop
27	a	ADP	28	case
28	tiempo	NOUN	14	advcl
29	completo	ADJ	28	amod
30	y	CCONJ	31	cc
31	22.926	NUM	28	conj
32	a	ADP	33	case
33	tiempo	NOUN	31	orphan
34	parcial	ADJ	33	amod
35	.	PUNCT	14	punct