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:
La Ertzaintza informó ayer del desmantelamiento de una red de adopción ilegal de niños bolivianos, que eran entregados a familias vizcaínas por tres millones de pesetas.
Postion	Tokenization
1	La
2	Ertzaintza
3	informó
4	ayer
5	del
6	desmantelamiento
7	de
8	una
9	red
10	de
11	adopción
12	ilegal
13	de
14	niños
15	bolivianos
16	,
17	que
18	eran
19	entregados
20	a
21	familias
22	vizcaínas
23	por
24	tres
25	millones
26	de
27	pesetas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Ertzaintza	PROPN	3	nsubj
3	informó	VERB	0	root
4	ayer	ADV	3	advmod
5	del	ADP	6	case
6	desmantelamiento	NOUN	3	obj
7	de	ADP	9	case
8	una	DET	9	det
9	red	NOUN	6	nmod
10	de	ADP	11	case
11	adopción	NOUN	9	nmod
12	ilegal	ADJ	11	amod
13	de	ADP	14	case
14	niños	NOUN	11	nmod
15	bolivianos	ADJ	14	amod
16	,	PUNCT	19	punct
17	que	PRON	19	nsubj
18	eran	AUX	19	aux
19	entregados	VERB	14	acl
20	a	ADP	21	case
21	familias	NOUN	19	obj
22	vizcaínas	ADJ	21	amod
23	por	ADP	25	case
24	tres	NUM	25	nummod
25	millones	NOUN	19	obl
26	de	ADP	27	case
27	pesetas	NOUN	25	nmod
28	.	PUNCT	3	punct