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 tuvo que utilizar un soplete para cortar las cadenas y procedió a la identificación de los cuatro individuos que, según fuentes del Departamento de Interior, parecían los "cabecillas" del acto.
Postion	Tokenization
1	La
2	Ertzaintza
3	tuvo
4	que
5	utilizar
6	un
7	soplete
8	para
9	cortar
10	las
11	cadenas
12	y
13	procedió
14	a
15	la
16	identificación
17	de
18	los
19	cuatro
20	individuos
21	que
22	,
23	según
24	fuentes
25	del
26	Departamento
27	de
28	Interior
29	,
30	parecían
31	los
32	"
33	cabecillas
34	"
35	del
36	acto
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Ertzaintza	PROPN	5	nsubj
3	tuvo	VERB	0	root
4	que	SCONJ	5	cc
5	utilizar	VERB	3	conj
6	un	DET	7	det
7	soplete	NOUN	5	obj
8	para	ADP	9	mark
9	cortar	VERB	5	advcl
10	las	DET	11	det
11	cadenas	NOUN	9	obj
12	y	CCONJ	13	cc
13	procedió	VERB	3	conj
14	a	ADP	16	case
15	la	DET	16	det
16	identificación	NOUN	13	obj
17	de	ADP	20	case
18	los	DET	20	det
19	cuatro	NUM	18	nummod
20	individuos	NOUN	16	nmod
21	que	PRON	30	nsubj
22	,	PUNCT	24	punct
23	según	ADP	24	case
24	fuentes	NOUN	30	obl
25	del	ADP	26	case
26	Departamento	PROPN	24	nmod
27	de	ADP	28	case
28	Interior	PROPN	26	flat
29	,	PUNCT	24	punct
30	parecían	VERB	20	acl
31	los	DET	33	det
32	"	PUNCT	31	punct
33	cabecillas	NOUN	30	xcomp
34	"	PUNCT	36	punct
35	del	ADP	36	case
36	acto	NOUN	33	nmod
37	.	PUNCT	3	punct