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:
El director del banco, Radovan Vrava, señaló que el motivo principal es la reestructuración del banco y no sólo la reducción de los costes.
Postion	Tokenization
1	El
2	director
3	del
4	banco
5	,
6	Radovan
7	Vrava
8	,
9	señaló
10	que
11	el
12	motivo
13	principal
14	es
15	la
16	reestructuración
17	del
18	banco
19	y
20	no
21	sólo
22	la
23	reducción
24	de
25	los
26	costes
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	9	nsubj
3	del	ADP	4	case
4	banco	NOUN	2	nmod
5	,	PUNCT	6	punct
6	Radovan	PROPN	2	appos
7	Vrava	PROPN	6	flat
8	,	PUNCT	6	punct
9	señaló	VERB	0	root
10	que	SCONJ	16	mark
11	el	DET	12	det
12	motivo	NOUN	16	nsubj
13	principal	ADJ	12	amod
14	es	AUX	16	cop
15	la	DET	16	det
16	reestructuración	NOUN	9	ccomp
17	del	ADP	18	case
18	banco	NOUN	16	nmod
19	y	CCONJ	23	cc
20	no	ADV	23	advmod
21	sólo	ADV	23	advmod
22	la	DET	23	det
23	reducción	NOUN	16	conj
24	de	ADP	26	case
25	los	DET	26	det
26	costes	NOUN	23	nmod
27	.	PUNCT	9	punct