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:
El ex consejero de Interior Juan María Atutxa confirmó por experiencia personal que el ministerio no facilita a la Ertzaintza la información que posee sobre objetivos de ETA.
Postion	Tokenization
1	El
2	ex
3	consejero
4	de
5	Interior
6	Juan
7	María
8	Atutxa
9	confirmó
10	por
11	experiencia
12	personal
13	que
14	el
15	ministerio
16	no
17	facilita
18	a
19	la
20	Ertzaintza
21	la
22	información
23	que
24	posee
25	sobre
26	objetivos
27	de
28	ETA
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	consejero	NOUN	9	nsubj
4	de	ADP	5	case
5	Interior	PROPN	3	nmod
6	Juan	PROPN	3	appos
7	María	PROPN	6	flat
8	Atutxa	PROPN	6	flat
9	confirmó	VERB	0	root
10	por	ADP	11	case
11	experiencia	NOUN	9	obl
12	personal	ADJ	11	amod
13	que	SCONJ	17	mark
14	el	DET	15	det
15	ministerio	NOUN	17	nsubj
16	no	ADV	17	advmod
17	facilita	VERB	9	ccomp
18	a	ADP	20	case
19	la	DET	20	det
20	Ertzaintza	PROPN	17	obj
21	la	DET	22	det
22	información	NOUN	17	obj
23	que	PRON	24	obj
24	posee	VERB	22	acl
25	sobre	ADP	26	case
26	objetivos	NOUN	24	obl
27	de	ADP	28	case
28	ETA	PROPN	26	nmod
29	.	PUNCT	9	punct