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, una reducción del 3,02 por ciento, lo que situó el total de desempleados en 1.531.169, el 9,16 de la población activa.
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	una
24	reducción
25	del
26	3,02
27	por
28	ciento
29	,
30	lo
31	que
32	situó
33	el
34	total
35	de
36	desempleados
37	en
38	1.531.169
39	,
40	el
41	9,16
42	de
43	la
44	población
45	activa
46	.
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	24	punct
23	una	DET	24	det
24	reducción	NOUN	21	appos
25	del	ADP	26	case
26	3,02	NUM	24	nummod
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	,	PUNCT	24	punct
30	lo	PRON	32	det
31	que	PRON	32	nsubj
32	situó	VERB	15	advcl
33	el	DET	34	det
34	total	NOUN	32	obj
35	de	ADP	36	case
36	desempleados	NOUN	34	nmod
37	en	ADP	38	case
38	1.531.169	NUM	32	obj
39	,	PUNCT	41	punct
40	el	DET	41	det
41	9,16	NUM	38	appos
42	de	ADP	44	case
43	la	DET	44	det
44	población	NOUN	41	nmod
45	activa	ADJ	44	amod
46	.	PUNCT	15	punct