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:
En Bruselas, los eurofuncionarios españoles guardaron diez minutos de silencio en un acto convocado por la Coordinadora por la Paz.
Postion	Tokenization
1	En
2	Bruselas
3	,
4	los
5	eurofuncionarios
6	españoles
7	guardaron
8	diez
9	minutos
10	de
11	silencio
12	en
13	un
14	acto
15	convocado
16	por
17	la
18	Coordinadora
19	por
20	la
21	Paz
22	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Bruselas	PROPN	7	obl
3	,	PUNCT	2	punct
4	los	DET	5	det
5	eurofuncionarios	NOUN	7	nsubj
6	españoles	ADJ	5	amod
7	guardaron	VERB	0	root
8	diez	NUM	9	nummod
9	minutos	NOUN	7	obj
10	de	ADP	11	case
11	silencio	NOUN	9	nmod
12	en	ADP	14	case
13	un	DET	14	det
14	acto	NOUN	7	obl
15	convocado	ADJ	14	amod
16	por	ADP	18	case
17	la	DET	18	det
18	Coordinadora	PROPN	15	obj
19	por	ADP	21	case
20	la	DET	21	det
21	Paz	PROPN	18	flat
22	.	PUNCT	7	punct