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 paro registrado en las oficinas del Instituto Nacional de Empleo (INEM) bajó en mayo pasado en 47.689 personas, lo que situó el total de desempleados en 1.531.169, el 9,16 de la población activa, y se firmaron 1.223.112 contratos, de los que 107.256 fueron indefinidos.
Postion	Tokenization
1	El
2	paro
3	registrado
4	en
5	las
6	oficinas
7	del
8	Instituto
9	Nacional
10	de
11	Empleo
12	(
13	INEM
14	)
15	bajó
16	en
17	mayo
18	pasado
19	en
20	47.689
21	personas
22	,
23	lo
24	que
25	situó
26	el
27	total
28	de
29	desempleados
30	en
31	1.531.169
32	,
33	el
34	9,16
35	de
36	la
37	población
38	activa
39	,
40	y
41	se
42	firmaron
43	1.223.112
44	contratos
45	,
46	de
47	los
48	que
49	107.256
50	fueron
51	indefinidos
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	paro	NOUN	15	nsubj
3	registrado	ADJ	2	amod
4	en	ADP	6	case
5	las	DET	6	det
6	oficinas	NOUN	3	obl
7	del	ADP	8	case
8	Instituto	PROPN	6	nmod
9	Nacional	PROPN	8	flat
10	de	ADP	11	case
11	Empleo	PROPN	8	flat
12	(	PUNCT	13	punct
13	INEM	PROPN	8	flat
14	)	PUNCT	13	punct
15	bajó	VERB	0	root
16	en	ADP	17	case
17	mayo	NOUN	15	obl
18	pasado	NOUN	17	compound
19	en	ADP	21	case
20	47.689	NUM	21	nummod
21	personas	NOUN	15	obl
22	,	PUNCT	25	punct
23	lo	PRON	25	det
24	que	PRON	25	nsubj
25	situó	VERB	15	advcl
26	el	DET	27	det
27	total	NOUN	25	obj
28	de	ADP	29	case
29	desempleados	NOUN	27	nmod
30	en	ADP	31	case
31	1.531.169	NUM	25	obl
32	,	PUNCT	34	punct
33	el	DET	34	det
34	9,16	NUM	31	appos
35	de	ADP	37	case
36	la	DET	37	det
37	población	NOUN	34	nmod
38	activa	ADJ	37	amod
39	,	PUNCT	34	punct
40	y	CCONJ	42	cc
41	se	PRON	42	expl:pass
42	firmaron	VERB	15	conj
43	1.223.112	NUM	44	nummod
44	contratos	NOUN	42	nsubj
45	,	PUNCT	51	punct
46	de	ADP	48	case
47	los	DET	48	det
48	que	PRON	51	obl
49	107.256	NUM	51	nsubj
50	fueron	AUX	51	cop
51	indefinidos	ADJ	44	acl
52	.	PUNCT	15	punct