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:
Al respetar el aspecto global de la marca del BBV se consigue mantener el valor de la marca del BBV en Latinoamérica y en España, donde tiene "el nivel de notoriedad más alto" entre los bancos del país.
Postion	Tokenization
1	Al
2	respetar
3	el
4	aspecto
5	global
6	de
7	la
8	marca
9	del
10	BBV
11	se
12	consigue
13	mantener
14	el
15	valor
16	de
17	la
18	marca
19	del
20	BBV
21	en
22	Latinoamérica
23	y
24	en
25	España
26	,
27	donde
28	tiene
29	"
30	el
31	nivel
32	de
33	notoriedad
34	más
35	alto
36	"
37	entre
38	los
39	bancos
40	del
41	país
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	respetar	VERB	12	advcl
3	el	DET	4	det
4	aspecto	NOUN	2	obj
5	global	ADJ	4	amod
6	de	ADP	8	case
7	la	DET	8	det
8	marca	NOUN	4	nmod
9	del	ADP	10	case
10	BBV	PROPN	8	nmod
11	se	PRON	12	expl:pass
12	consigue	VERB	0	root
13	mantener	VERB	12	csubj
14	el	DET	15	det
15	valor	NOUN	13	obj
16	de	ADP	18	case
17	la	DET	18	det
18	marca	NOUN	15	nmod
19	del	ADP	20	case
20	BBV	PROPN	18	nmod
21	en	ADP	22	case
22	Latinoamérica	PROPN	15	nmod
23	y	CCONJ	25	cc
24	en	ADP	25	case
25	España	PROPN	22	conj
26	,	PUNCT	28	punct
27	donde	PRON	28	obl
28	tiene	VERB	25	acl
29	"	PUNCT	31	punct
30	el	DET	31	det
31	nivel	NOUN	28	obj
32	de	ADP	33	case
33	notoriedad	NOUN	31	nmod
34	más	ADV	35	advmod
35	alto	ADJ	31	amod
36	"	PUNCT	31	punct
37	entre	ADP	39	case
38	los	DET	39	det
39	bancos	NOUN	31	nmod
40	del	ADP	41	case
41	país	NOUN	39	nmod
42	.	PUNCT	12	punct