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 situación de acoso finalizó tras la explosión de una bomba en las oficinas centrales que el antiguo Banco de Vizcaya, ahora BBV, tenía en la Gran Vía bilbaína y que produjo tres muertos y numerosos heridos.
Postion	Tokenization
1	La
2	situación
3	de
4	acoso
5	finalizó
6	tras
7	la
8	explosión
9	de
10	una
11	bomba
12	en
13	las
14	oficinas
15	centrales
16	que
17	el
18	antiguo
19	Banco
20	de
21	Vizcaya
22	,
23	ahora
24	BBV
25	,
26	tenía
27	en
28	la
29	Gran
30	Vía
31	bilbaína
32	y
33	que
34	produjo
35	tres
36	muertos
37	y
38	numerosos
39	heridos
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	situación	NOUN	5	nsubj
3	de	ADP	4	case
4	acoso	NOUN	2	nmod
5	finalizó	VERB	0	root
6	tras	ADP	8	case
7	la	DET	8	det
8	explosión	NOUN	5	obl
9	de	ADP	11	case
10	una	DET	11	det
11	bomba	NOUN	8	nmod
12	en	ADP	14	case
13	las	DET	14	det
14	oficinas	NOUN	8	nmod
15	centrales	ADJ	14	amod
16	que	PRON	26	obj
17	el	DET	19	det
18	antiguo	ADJ	19	amod
19	Banco	PROPN	26	nsubj
20	de	ADP	21	case
21	Vizcaya	PROPN	19	flat
22	,	PUNCT	24	punct
23	ahora	ADV	24	advmod
24	BBV	PROPN	19	flat
25	,	PUNCT	24	punct
26	tenía	VERB	14	acl
27	en	ADP	29	case
28	la	DET	29	det
29	Gran	ADJ	26	obl
30	Vía	PROPN	29	flat
31	bilbaína	ADJ	29	amod
32	y	CCONJ	34	cc
33	que	PRON	34	nsubj
34	produjo	VERB	14	conj
35	tres	NUM	36	nummod
36	muertos	NOUN	34	obj
37	y	CCONJ	39	cc
38	numerosos	ADJ	39	amod
39	heridos	NOUN	36	conj
40	.	PUNCT	5	punct