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:
Explicó que IU no consideraba "coherente la propuesta de retirada de sus candidaturas, porque va en detrimento de una de las fuerzas de la izquierda al no permitir mantener su identidad en todo el Estado".
Postion	Tokenization
1	Explicó
2	que
3	IU
4	no
5	consideraba
6	"
7	coherente
8	la
9	propuesta
10	de
11	retirada
12	de
13	sus
14	candidaturas
15	,
16	porque
17	va
18	en
19	detrimento
20	de
21	una
22	de
23	las
24	fuerzas
25	de
26	la
27	izquierda
28	al
29	no
30	permitir
31	mantener
32	su
33	identidad
34	en
35	todo
36	el
37	Estado
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Explicó	VERB	0	root
2	que	SCONJ	5	mark
3	IU	PROPN	5	nsubj
4	no	ADV	5	advmod
5	consideraba	VERB	1	ccomp
6	"	PUNCT	5	punct
7	coherente	ADJ	5	obj
8	la	DET	9	det
9	propuesta	NOUN	5	obj
10	de	ADP	11	case
11	retirada	NOUN	9	nmod
12	de	ADP	14	case
13	sus	DET	14	det
14	candidaturas	NOUN	11	nmod
15	,	PUNCT	17	punct
16	porque	SCONJ	17	mark
17	va	VERB	5	advcl
18	en	ADP	21	case
19	detrimento	NOUN	18	fixed
20	de	ADP	18	fixed
21	una	PRON	17	obl
22	de	ADP	24	case
23	las	DET	24	det
24	fuerzas	NOUN	21	nmod
25	de	ADP	27	case
26	la	DET	27	det
27	izquierda	NOUN	24	nmod
28	al	ADP	30	mark
29	no	ADV	30	advmod
30	permitir	VERB	17	advcl
31	mantener	VERB	30	xcomp
32	su	DET	33	det
33	identidad	NOUN	31	obj
34	en	ADP	37	case
35	todo	DET	36	det
36	el	DET	37	det
37	Estado	PROPN	30	obl
38	"	PUNCT	5	punct
39	.	PUNCT	1	punct