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 presidente del Frente Patriótico (FP), Luis Villacís, indicó a EFE que las protestas crecerán en intensidad pero que el grueso de las manifestaciones se dejarán sentir el próximo Lunes durante la celebración del Día Internacional del Trabajo.
Postion	Tokenization
1	El
2	presidente
3	del
4	Frente
5	Patriótico
6	(
7	FP
8	)
9	,
10	Luis
11	Villacís
12	,
13	indicó
14	a
15	EFE
16	que
17	las
18	protestas
19	crecerán
20	en
21	intensidad
22	pero
23	que
24	el
25	grueso
26	de
27	las
28	manifestaciones
29	se
30	dejarán
31	sentir
32	el
33	próximo
34	Lunes
35	durante
36	la
37	celebración
38	del
39	Día
40	Internacional
41	del
42	Trabajo
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	13	nsubj
3	del	ADP	4	case
4	Frente	PROPN	2	nmod
5	Patriótico	PROPN	4	flat
6	(	PUNCT	7	punct
7	FP	PROPN	4	flat
8	)	PUNCT	7	punct
9	,	PUNCT	10	punct
10	Luis	PROPN	2	appos
11	Villacís	PROPN	10	flat
12	,	PUNCT	10	punct
13	indicó	VERB	0	root
14	a	ADP	15	case
15	EFE	PROPN	13	iobj
16	que	SCONJ	19	mark
17	las	DET	18	det
18	protestas	NOUN	19	nsubj
19	crecerán	VERB	13	ccomp
20	en	ADP	21	case
21	intensidad	NOUN	19	obl
22	pero	CCONJ	30	cc
23	que	SCONJ	30	mark
24	el	DET	25	det
25	grueso	NOUN	30	nsubj
26	de	ADP	28	case
27	las	DET	28	det
28	manifestaciones	NOUN	25	nmod
29	se	PRON	30	expl:pass
30	dejarán	VERB	19	conj
31	sentir	VERB	30	xcomp
32	el	DET	34	det
33	próximo	ADJ	34	amod
34	Lunes	NOUN	30	obl
35	durante	ADP	37	case
36	la	DET	37	det
37	celebración	NOUN	30	obl
38	del	ADP	39	case
39	Día	PROPN	37	nmod
40	Internacional	PROPN	39	flat
41	del	ADP	42	case
42	Trabajo	PROPN	39	flat
43	.	PUNCT	13	punct