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 BCE aprovechó la reunión de su consejo de gobierno para reducir el tipo de interés oficial en la zona euro del 4,5% al 4,25%.
Postion	Tokenization
1	El
2	BCE
3	aprovechó
4	la
5	reunión
6	de
7	su
8	consejo
9	de
10	gobierno
11	para
12	reducir
13	el
14	tipo
15	de
16	interés
17	oficial
18	en
19	la
20	zona
21	euro
22	del
23	4,5%
24	al
25	4,25%
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	BCE	PROPN	3	nsubj
3	aprovechó	VERB	0	root
4	la	DET	5	det
5	reunión	NOUN	3	obj
6	de	ADP	8	case
7	su	DET	8	det
8	consejo	NOUN	5	nmod
9	de	ADP	10	case
10	gobierno	NOUN	8	nmod
11	para	ADP	12	mark
12	reducir	VERB	3	advcl
13	el	DET	14	det
14	tipo	NOUN	12	obj
15	de	ADP	16	case
16	interés	NOUN	14	nmod
17	oficial	ADJ	16	amod
18	en	ADP	20	case
19	la	DET	20	det
20	zona	NOUN	12	obl
21	euro	NOUN	20	appos
22	del	ADP	23	case
23	4,5%	SYM	12	obl
24	al	ADP	25	case
25	4,25%	SYM	12	obl
26	.	PUNCT	3	punct