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:
Según datos del Ministerio de Trabajo, en mayo se registraron 1.223.112 contratos, de los que 107.256 fueron de carácter indefinido y representaron el 8,77 por ciento del total.
Postion	Tokenization
1	Según
2	datos
3	del
4	Ministerio
5	de
6	Trabajo
7	,
8	en
9	mayo
10	se
11	registraron
12	1.223.112
13	contratos
14	,
15	de
16	los
17	que
18	107.256
19	fueron
20	de
21	carácter
22	indefinido
23	y
24	representaron
25	el
26	8,77
27	por
28	ciento
29	del
30	total
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	datos	NOUN	11	obl
3	del	ADP	4	case
4	Ministerio	PROPN	2	nmod
5	de	ADP	6	case
6	Trabajo	PROPN	4	flat
7	,	PUNCT	2	punct
8	en	ADP	9	case
9	mayo	NOUN	11	obl
10	se	PRON	11	expl:pass
11	registraron	VERB	0	root
12	1.223.112	NUM	13	nummod
13	contratos	NOUN	11	nsubj
14	,	PUNCT	21	punct
15	de	ADP	17	case
16	los	DET	17	det
17	que	PRON	18	nmod
18	107.256	NUM	21	nsubj
19	fueron	AUX	21	cop
20	de	ADP	21	case
21	carácter	NOUN	13	acl
22	indefinido	ADJ	21	amod
23	y	CCONJ	24	cc
24	representaron	VERB	21	conj
25	el	DET	26	det
26	8,77	NUM	24	obj
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	del	ADP	30	case
30	total	NOUN	26	nmod
31	.	PUNCT	11	punct