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