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:
Conscientes de que no había posibilidad de entendimiento, Aznar e Ibarretxe acordaron dejar el debate sobre el diálogo con EH para mejor ocasión.
Postion	Tokenization
1	Conscientes
2	de
3	que
4	no
5	había
6	posibilidad
7	de
8	entendimiento
9	,
10	Aznar
11	e
12	Ibarretxe
13	acordaron
14	dejar
15	el
16	debate
17	sobre
18	el
19	diálogo
20	con
21	EH
22	para
23	mejor
24	ocasión
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Conscientes	ADJ	13	iobj
2	de	ADP	5	mark
3	que	SCONJ	5	mark
4	no	ADV	5	advmod
5	había	AUX	1	acl
6	posibilidad	NOUN	5	obj
7	de	ADP	8	case
8	entendimiento	NOUN	6	nmod
9	,	PUNCT	1	punct
10	Aznar	PROPN	13	nsubj
11	e	CCONJ	12	cc
12	Ibarretxe	PROPN	10	conj
13	acordaron	VERB	0	root
14	dejar	VERB	13	xcomp
15	el	DET	16	det
16	debate	NOUN	14	obj
17	sobre	ADP	19	case
18	el	DET	19	det
19	diálogo	NOUN	16	nmod
20	con	ADP	21	case
21	EH	PROPN	19	nmod
22	para	ADP	24	case
23	mejor	ADJ	24	amod
24	ocasión	NOUN	14	obl
25	.	PUNCT	13	punct