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:
Para lograr una mayor simplicidad, se han eliminado todos los elementos complementarios, como las "estrellas" que adornaban el logotipo del BBV y el "rosetón" de Argentaria.
Postion	Tokenization
1	Para
2	lograr
3	una
4	mayor
5	simplicidad
6	,
7	se
8	han
9	eliminado
10	todos
11	los
12	elementos
13	complementarios
14	,
15	como
16	las
17	"
18	estrellas
19	"
20	que
21	adornaban
22	el
23	logotipo
24	del
25	BBV
26	y
27	el
28	"
29	rosetón
30	"
31	de
32	Argentaria
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	lograr	VERB	9	advcl
3	una	DET	5	det
4	mayor	ADJ	5	amod
5	simplicidad	NOUN	2	obj
6	,	PUNCT	2	punct
7	se	PRON	9	expl:pass
8	han	AUX	9	aux
9	eliminado	VERB	0	root
10	todos	DET	11	det
11	los	DET	12	det
12	elementos	NOUN	9	nsubj
13	complementarios	ADJ	12	amod
14	,	PUNCT	18	punct
15	como	SCONJ	18	mark
16	las	DET	18	det
17	"	PUNCT	18	punct
18	estrellas	NOUN	12	nmod
19	"	PUNCT	21	punct
20	que	PRON	21	nsubj
21	adornaban	VERB	18	acl
22	el	DET	23	det
23	logotipo	NOUN	21	obj
24	del	ADP	25	case
25	BBV	PROPN	23	nmod
26	y	CCONJ	29	cc
27	el	DET	29	det
28	"	PUNCT	29	punct
29	rosetón	NOUN	18	conj
30	"	PUNCT	29	punct
31	de	ADP	32	case
32	Argentaria	PROPN	29	nmod
33	.	PUNCT	9	punct