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:
Tres monitores más declararán la próxima semana como testigos en la causa abierta por las muertes de dos Escolares de Badalona, que se ahogaron el pasado Lunes en la riera de Merlès (Osona).
Postion	Tokenization
1	Tres
2	monitores
3	más
4	declararán
5	la
6	próxima
7	semana
8	como
9	testigos
10	en
11	la
12	causa
13	abierta
14	por
15	las
16	muertes
17	de
18	dos
19	Escolares
20	de
21	Badalona
22	,
23	que
24	se
25	ahogaron
26	el
27	pasado
28	Lunes
29	en
30	la
31	riera
32	de
33	Merlès
34	(
35	Osona
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Tres	NUM	2	nummod
2	monitores	NOUN	4	nsubj
3	más	ADV	2	advmod
4	declararán	VERB	0	root
5	la	DET	7	det
6	próxima	ADJ	7	amod
7	semana	NOUN	4	obl
8	como	SCONJ	9	mark
9	testigos	NOUN	4	obl
10	en	ADP	12	case
11	la	DET	12	det
12	causa	NOUN	4	obl
13	abierta	ADJ	12	amod
14	por	ADP	16	case
15	las	DET	16	det
16	muertes	NOUN	12	nmod
17	de	ADP	19	case
18	dos	NUM	19	nummod
19	Escolares	NOUN	16	nmod
20	de	ADP	21	case
21	Badalona	PROPN	19	nmod
22	,	PUNCT	25	punct
23	que	PRON	25	nsubj
24	se	PRON	25	expl:pv
25	ahogaron	VERB	19	acl
26	el	DET	28	det
27	pasado	ADJ	28	amod
28	Lunes	NOUN	25	obl
29	en	ADP	31	case
30	la	DET	31	det
31	riera	NOUN	25	obl
32	de	ADP	33	case
33	Merlès	PROPN	31	nmod
34	(	PUNCT	35	punct
35	Osona	PROPN	33	flat
36	)	PUNCT	35	punct
37	.	PUNCT	4	punct