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 número de contratos registrados durante mayo fue de 1.223.112, lo que supone un incremento de 93.980 sobre el mismo mes del año anterior, y de ese total los indefinidos alcanzaron la cifra de 107.256, el 8,77 por ciento de todos los suscritos por medio del INEM.
Postion	Tokenization
1	El
2	número
3	de
4	contratos
5	registrados
6	durante
7	mayo
8	fue
9	de
10	1.223.112
11	,
12	lo
13	que
14	supone
15	un
16	incremento
17	de
18	93.980
19	sobre
20	el
21	mismo
22	mes
23	del
24	año
25	anterior
26	,
27	y
28	de
29	ese
30	total
31	los
32	indefinidos
33	alcanzaron
34	la
35	cifra
36	de
37	107.256
38	,
39	el
40	8,77
41	por
42	ciento
43	de
44	todos
45	los
46	suscritos
47	por
48	medio
49	del
50	INEM
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	10	nsubj
3	de	ADP	4	case
4	contratos	NOUN	2	nmod
5	registrados	ADJ	4	amod
6	durante	ADP	7	case
7	mayo	NOUN	5	obl
8	fue	AUX	10	cop
9	de	ADP	10	case
10	1.223.112	NUM	0	root
11	,	PUNCT	14	punct
12	lo	PRON	14	det
13	que	PRON	14	nsubj
14	supone	VERB	10	advcl
15	un	DET	16	det
16	incremento	NOUN	14	obj
17	de	ADP	18	case
18	93.980	NUM	16	nummod
19	sobre	ADP	22	case
20	el	DET	22	det
21	mismo	DET	20	det
22	mes	NOUN	14	obl
23	del	ADP	24	case
24	año	NOUN	22	nmod
25	anterior	ADJ	24	amod
26	,	PUNCT	33	punct
27	y	CCONJ	33	cc
28	de	ADP	30	case
29	ese	DET	30	det
30	total	ADJ	33	advmod
31	los	DET	32	det
32	indefinidos	NOUN	33	nsubj
33	alcanzaron	VERB	10	conj
34	la	DET	35	det
35	cifra	NOUN	33	obj
36	de	ADP	37	case
37	107.256	NUM	35	nummod
38	,	PUNCT	40	punct
39	el	DET	40	det
40	8,77	NUM	37	appos
41	por	ADP	42	case
42	ciento	NUM	40	compound
43	de	ADP	46	case
44	todos	DET	45	det
45	los	DET	46	det
46	suscritos	ADJ	40	amod
47	por	ADP	50	case
48	medio	NOUN	47	fixed
49	del	ADP	47	fixed
50	INEM	PROPN	46	obl
51	.	PUNCT	10	punct