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:
Zeberio murió en un tiroteo con la Ertzaintza en un piso de Gernika en junio de 1998, en una operación en la que quedó desarticulado el comando Vizcaya.
Postion	Tokenization
1	Zeberio
2	murió
3	en
4	un
5	tiroteo
6	con
7	la
8	Ertzaintza
9	en
10	un
11	piso
12	de
13	Gernika
14	en
15	junio
16	de
17	1998
18	,
19	en
20	una
21	operación
22	en
23	la
24	que
25	quedó
26	desarticulado
27	el
28	comando
29	Vizcaya
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zeberio	PROPN	2	nsubj
2	murió	VERB	0	root
3	en	ADP	5	case
4	un	DET	5	det
5	tiroteo	NOUN	2	obl
6	con	ADP	8	case
7	la	DET	8	det
8	Ertzaintza	PROPN	5	nmod
9	en	ADP	11	case
10	un	DET	11	det
11	piso	NOUN	5	nmod
12	de	ADP	13	case
13	Gernika	PROPN	11	nmod
14	en	ADP	15	case
15	junio	NOUN	2	obl
16	de	ADP	17	case
17	1998	NUM	15	compound
18	,	PUNCT	21	punct
19	en	ADP	21	case
20	una	DET	21	det
21	operación	NOUN	2	obl
22	en	ADP	24	case
23	la	DET	24	det
24	que	PRON	25	obl
25	quedó	VERB	21	acl
26	desarticulado	ADJ	25	obj
27	el	DET	28	det
28	comando	NOUN	25	nsubj
29	Vizcaya	PROPN	28	appos
30	.	PUNCT	2	punct