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 abrió el curso del Parlamento vasco en el palacio de Miramar, en San Sebastián, donde aprovechó para dar su punto de vista sobre los recientes comunicados de ETA.
Postion	Tokenization
1	Ibarretxe
2	abrió
3	el
4	curso
5	del
6	Parlamento
7	vasco
8	en
9	el
10	palacio
11	de
12	Miramar
13	,
14	en
15	San
16	Sebastián
17	,
18	donde
19	aprovechó
20	para
21	dar
22	su
23	punto
24	de
25	vista
26	sobre
27	los
28	recientes
29	comunicados
30	de
31	ETA
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ibarretxe	PROPN	2	nsubj
2	abrió	VERB	0	root
3	el	DET	4	det
4	curso	NOUN	2	obj
5	del	ADP	6	case
6	Parlamento	PROPN	4	nmod
7	vasco	ADJ	6	amod
8	en	ADP	10	case
9	el	DET	10	det
10	palacio	NOUN	2	obl
11	de	ADP	12	case
12	Miramar	PROPN	10	nmod
13	,	PUNCT	15	punct
14	en	ADP	15	case
15	San	PROPN	10	nmod
16	Sebastián	PROPN	15	flat
17	,	PUNCT	15	punct
18	donde	PRON	19	obl
19	aprovechó	VERB	10	acl
20	para	ADP	21	mark
21	dar	VERB	19	advcl
22	su	DET	23	det
23	punto	NOUN	21	obj
24	de	ADP	25	case
25	vista	NOUN	23	nmod
26	sobre	ADP	29	case
27	los	DET	29	det
28	recientes	ADJ	29	amod
29	comunicados	NOUN	23	nmod
30	de	ADP	31	case
31	ETA	PROPN	29	nmod
32	.	PUNCT	2	punct