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 imagen corporativa del nuevo Banco Bilbao Vizcaya Argentaria (BBVA) mantendrá los colores y tipografía del Banco Bilbao Vizcaya (BBV), lo que permitirá a la entidad un ahorro de costes en la implantación de la nueva marca de unos 26.000 millones de pesetas, según fuentes de la entidad.
Postion	Tokenization
1	La
2	imagen
3	corporativa
4	del
5	nuevo
6	Banco
7	Bilbao
8	Vizcaya
9	Argentaria
10	(
11	BBVA
12	)
13	mantendrá
14	los
15	colores
16	y
17	tipografía
18	del
19	Banco
20	Bilbao
21	Vizcaya
22	(
23	BBV
24	)
25	,
26	lo
27	que
28	permitirá
29	a
30	la
31	entidad
32	un
33	ahorro
34	de
35	costes
36	en
37	la
38	implantación
39	de
40	la
41	nueva
42	marca
43	de
44	unos
45	26.000
46	millones
47	de
48	pesetas
49	,
50	según
51	fuentes
52	de
53	la
54	entidad
55	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	imagen	NOUN	13	nsubj
3	corporativa	ADJ	2	amod
4	del	ADP	6	case
5	nuevo	ADJ	6	amod
6	Banco	PROPN	2	nmod
7	Bilbao	PROPN	6	flat
8	Vizcaya	PROPN	6	flat
9	Argentaria	PROPN	6	flat
10	(	PUNCT	11	punct
11	BBVA	PROPN	6	flat
12	)	PUNCT	11	punct
13	mantendrá	VERB	0	root
14	los	DET	15	det
15	colores	NOUN	13	obj
16	y	CCONJ	17	cc
17	tipografía	NOUN	15	conj
18	del	ADP	19	case
19	Banco	PROPN	15	nmod
20	Bilbao	PROPN	19	flat
21	Vizcaya	PROPN	19	flat
22	(	PUNCT	23	punct
23	BBV	PROPN	19	flat
24	)	PUNCT	23	punct
25	,	PUNCT	28	punct
26	lo	PRON	28	det
27	que	PRON	28	nsubj
28	permitirá	VERB	13	advcl
29	a	ADP	31	case
30	la	DET	31	det
31	entidad	NOUN	28	obj
32	un	DET	33	det
33	ahorro	NOUN	28	obj
34	de	ADP	35	case
35	costes	NOUN	33	nmod
36	en	ADP	38	case
37	la	DET	38	det
38	implantación	NOUN	33	nmod
39	de	ADP	42	case
40	la	DET	42	det
41	nueva	ADJ	42	amod
42	marca	NOUN	38	nmod
43	de	ADP	46	case
44	unos	PRON	45	nmod
45	26.000	NUM	46	nummod
46	millones	NOUN	33	nmod
47	de	ADP	48	case
48	pesetas	NOUN	46	nmod
49	,	PUNCT	51	punct
50	según	ADP	51	case
51	fuentes	NOUN	28	obl
52	de	ADP	54	case
53	la	DET	54	det
54	entidad	NOUN	51	nmod
55	.	PUNCT	13	punct