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:
Kiko comunicó a sus compañeros su negativa a colaborar y su postura llegó a oídos del Frente, incluso con frases literales, según explicó el jugador en el programa El Larguero.
Postion	Tokenization
1	Kiko
2	comunicó
3	a
4	sus
5	compañeros
6	su
7	negativa
8	a
9	colaborar
10	y
11	su
12	postura
13	llegó
14	a
15	oídos
16	del
17	Frente
18	,
19	incluso
20	con
21	frases
22	literales
23	,
24	según
25	explicó
26	el
27	jugador
28	en
29	el
30	programa
31	El
32	Larguero
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Kiko	PROPN	2	nsubj
2	comunicó	VERB	0	root
3	a	ADP	5	case
4	sus	DET	5	det
5	compañeros	NOUN	2	obj
6	su	DET	7	det
7	negativa	NOUN	2	obj
8	a	ADP	9	mark
9	colaborar	VERB	7	acl
10	y	CCONJ	13	cc
11	su	DET	12	det
12	postura	NOUN	13	nsubj
13	llegó	VERB	2	conj
14	a	ADP	15	case
15	oídos	NOUN	13	obl
16	del	ADP	17	case
17	Frente	PROPN	15	nmod
18	,	PUNCT	19	punct
19	incluso	ADV	13	advmod
20	con	ADP	19	case
21	frases	NOUN	19	nmod
22	literales	ADJ	21	amod
23	,	PUNCT	25	punct
24	según	SCONJ	25	mark
25	explicó	VERB	13	advcl
26	el	DET	27	det
27	jugador	NOUN	25	nsubj
28	en	ADP	30	case
29	el	DET	30	det
30	programa	NOUN	25	obl
31	El	DET	32	det
32	Larguero	PROPN	30	appos
33	.	PUNCT	2	punct