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 diputado de Acción Social de Vizcaya, Ricardo Ansotegui (PNV), pidió ayer que no se justifique a los padres adoptivos que recurren a estas vías porque cometen un delito.
Postion	Tokenization
1	El
2	diputado
3	de
4	Acción
5	Social
6	de
7	Vizcaya
8	,
9	Ricardo
10	Ansotegui
11	(
12	PNV
13	)
14	,
15	pidió
16	ayer
17	que
18	no
19	se
20	justifique
21	a
22	los
23	padres
24	adoptivos
25	que
26	recurren
27	a
28	estas
29	vías
30	porque
31	cometen
32	un
33	delito
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diputado	NOUN	15	nsubj
3	de	ADP	4	case
4	Acción	PROPN	2	nmod
5	Social	PROPN	4	flat
6	de	ADP	7	case
7	Vizcaya	PROPN	4	flat
8	,	PUNCT	9	punct
9	Ricardo	PROPN	2	appos
10	Ansotegui	PROPN	9	flat
11	(	PUNCT	12	punct
12	PNV	PROPN	9	flat
13	)	PUNCT	12	punct
14	,	PUNCT	9	punct
15	pidió	VERB	0	root
16	ayer	ADV	15	advmod
17	que	SCONJ	20	mark
18	no	ADV	20	advmod
19	se	PRON	20	expl:impers
20	justifique	VERB	15	ccomp
21	a	ADP	23	case
22	los	DET	23	det
23	padres	NOUN	20	obj
24	adoptivos	ADJ	23	amod
25	que	PRON	26	nsubj
26	recurren	VERB	23	acl
27	a	ADP	29	case
28	estas	DET	29	det
29	vías	NOUN	26	obj
30	porque	SCONJ	31	mark
31	cometen	VERB	26	advcl
32	un	DET	33	det
33	delito	NOUN	31	obj
34	.	PUNCT	15	punct