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:
Ibarretxe acabó acatando la doctrina oficial del partido y desautorizó a su propio portavoz al desmentir que planeara excluir a la coalición aberzale de su iniciativa de diálogo.
Postion	Tokenization
1	Ibarretxe
2	acabó
3	acatando
4	la
5	doctrina
6	oficial
7	del
8	partido
9	y
10	desautorizó
11	a
12	su
13	propio
14	portavoz
15	al
16	desmentir
17	que
18	planeara
19	excluir
20	a
21	la
22	coalición
23	aberzale
24	de
25	su
26	iniciativa
27	de
28	diálogo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ibarretxe	PROPN	2	nsubj
2	acabó	VERB	0	root
3	acatando	VERB	2	xcomp
4	la	DET	5	det
5	doctrina	NOUN	3	obj
6	oficial	ADJ	5	amod
7	del	ADP	8	case
8	partido	NOUN	5	nmod
9	y	CCONJ	10	cc
10	desautorizó	VERB	3	conj
11	a	ADP	14	case
12	su	DET	14	det
13	propio	DET	12	det
14	portavoz	NOUN	10	obj
15	al	ADP	16	mark
16	desmentir	VERB	10	advcl
17	que	SCONJ	18	mark
18	planeara	VERB	16	ccomp
19	excluir	VERB	18	xcomp
20	a	ADP	22	case
21	la	DET	22	det
22	coalición	NOUN	19	obj
23	aberzale	ADJ	22	amod
24	de	ADP	26	case
25	su	DET	26	det
26	iniciativa	NOUN	19	obl
27	de	ADP	28	case
28	diálogo	NOUN	26	nmod
29	.	PUNCT	2	punct