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:
Los partidos de la oposición respondieron con críticas al discurso de Ibarretxe, a quien reprocharon que no aprovechara esa oportunidad para anunciar elecciones anticipadas.
Postion	Tokenization
1	Los
2	partidos
3	de
4	la
5	oposición
6	respondieron
7	con
8	críticas
9	al
10	discurso
11	de
12	Ibarretxe
13	,
14	a
15	quien
16	reprocharon
17	que
18	no
19	aprovechara
20	esa
21	oportunidad
22	para
23	anunciar
24	elecciones
25	anticipadas
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	partidos	NOUN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	oposición	NOUN	2	nmod
6	respondieron	VERB	0	root
7	con	ADP	8	case
8	críticas	NOUN	6	obl
9	al	ADP	10	case
10	discurso	NOUN	6	obj
11	de	ADP	12	case
12	Ibarretxe	PROPN	10	nmod
13	,	PUNCT	16	punct
14	a	ADP	15	case
15	quien	PRON	16	iobj
16	reprocharon	VERB	12	acl
17	que	SCONJ	19	mark
18	no	ADV	19	advmod
19	aprovechara	VERB	16	ccomp
20	esa	DET	21	det
21	oportunidad	NOUN	19	obj
22	para	ADP	23	mark
23	anunciar	VERB	19	advcl
24	elecciones	NOUN	23	obj
25	anticipadas	ADJ	24	amod
26	.	PUNCT	6	punct