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:
Gestmusic, que se encarga de toda la producción de Moros y cristianos, recibió una llamada de un directivo de Tele 5 diciéndoles que se olvidaran de este debate.
Postion	Tokenization
1	Gestmusic
2	,
3	que
4	se
5	encarga
6	de
7	toda
8	la
9	producción
10	de
11	Moros
12	y
13	cristianos
14	,
15	recibió
16	una
17	llamada
18	de
19	un
20	directivo
21	de
22	Tele
23	5
24	diciéndoles
25	diciendo
26	les
27	que
28	se
29	olvidaran
30	de
31	este
32	debate
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Gestmusic	PROPN	15	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	se	PRON	5	expl:pv
5	encarga	VERB	1	acl
6	de	ADP	9	case
7	toda	DET	8	det
8	la	DET	9	det
9	producción	NOUN	5	obj
10	de	ADP	11	case
11	Moros	PROPN	9	nmod
12	y	CCONJ	13	cc
13	cristianos	PROPN	11	conj
14	,	PUNCT	5	punct
15	recibió	VERB	0	root
16	una	DET	17	det
17	llamada	NOUN	15	obj
18	de	ADP	20	case
19	un	DET	20	det
20	directivo	NOUN	17	nmod
21	de	ADP	22	case
22	Tele	PROPN	20	nmod
23	5	NUM	22	nummod
24	diciéndoles	_	None	_
25	diciendo	VERB	17	acl
26	les	PRON	24	obj
27	que	SCONJ	28	mark
28	se	PRON	28	expl:pv
29	olvidaran	VERB	24	ccomp
30	de	ADP	31	case
31	este	DET	31	det
32	debate	NOUN	28	obj
33	.	PUNCT	15	punct