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 el pasado mes de 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	el
8	pasado
9	mes
10	de
11	mayo
12	fue
13	de
14	1.223.112
15	,
16	lo
17	que
18	supone
19	un
20	incremento
21	de
22	93.980
23	sobre
24	el
25	mismo
26	mes
27	del
28	año
29	anterior
30	y
31	,
32	de
33	ese
34	total
35	,
36	los
37	indefinidos
38	alcanzaron
39	la
40	cifra
41	de
42	107.256
43	,
44	el
45	8,77
46	por
47	ciento
48	de
49	todos
50	los
51	suscritos
52	por
53	medio
54	del
55	INEM
56	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	14	nsubj
3	de	ADP	4	case
4	contratos	NOUN	2	nmod
5	registrados	ADJ	4	amod
6	durante	ADP	8	case
7	el	DET	8	det
8	pasado	NOUN	5	obl
9	mes	NOUN	8	compound
10	de	ADP	11	case
11	mayo	NOUN	8	compound
12	fue	AUX	14	cop
13	de	ADP	14	case
14	1.223.112	NUM	0	root
15	,	PUNCT	18	punct
16	lo	PRON	18	det
17	que	PRON	18	nsubj
18	supone	VERB	14	advcl
19	un	DET	20	det
20	incremento	NOUN	18	obj
21	de	ADP	22	case
22	93.980	NUM	20	nummod
23	sobre	ADP	26	case
24	el	DET	26	det
25	mismo	DET	24	det
26	mes	NOUN	18	obl
27	del	ADP	28	case
28	año	NOUN	26	nmod
29	anterior	ADJ	28	amod
30	y	CCONJ	38	cc
31	,	PUNCT	34	punct
32	de	ADP	34	case
33	ese	DET	34	det
34	total	NOUN	37	nmod
35	,	PUNCT	34	punct
36	los	DET	37	det
37	indefinidos	NOUN	38	nsubj
38	alcanzaron	VERB	14	conj
39	la	DET	40	det
40	cifra	NOUN	38	obj
41	de	ADP	42	case
42	107.256	NUM	40	nummod
43	,	PUNCT	45	punct
44	el	DET	45	det
45	8,77	NUM	42	appos
46	por	ADP	47	case
47	ciento	NUM	45	compound
48	de	ADP	51	case
49	todos	DET	50	det
50	los	DET	51	det
51	suscritos	NOUN	45	nmod
52	por	ADP	55	case
53	medio	NOUN	52	fixed
54	del	ADP	52	fixed
55	INEM	PROPN	51	nmod
56	.	PUNCT	14	punct