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:
Más de un centenar de personas, convocadas por la asociación Defensa y Ayuda Animales, se concentraron ayer ante el ayuntamiento para exigir que se depuren las responsabilidades oportunas.
Postion	Tokenization
1	Más
2	de
3	un
4	centenar
5	de
6	personas
7	,
8	convocadas
9	por
10	la
11	asociación
12	Defensa
13	y
14	Ayuda
15	Animales
16	,
17	se
18	concentraron
19	ayer
20	ante
21	el
22	ayuntamiento
23	para
24	exigir
25	que
26	se
27	depuren
28	las
29	responsabilidades
30	oportunas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	4	advmod
2	de	ADP	4	case
3	un	DET	4	det
4	centenar	NOUN	6	nmod
5	de	ADP	4	case
6	personas	NOUN	18	nsubj
7	,	PUNCT	8	punct
8	convocadas	ADJ	6	amod
9	por	ADP	11	case
10	la	DET	11	det
11	asociación	NOUN	8	obj
12	Defensa	PROPN	11	appos
13	y	CCONJ	14	cc
14	Ayuda	PROPN	12	conj
15	Animales	PROPN	14	flat
16	,	PUNCT	8	punct
17	se	PRON	18	expl:pv
18	concentraron	VERB	0	root
19	ayer	ADV	18	advmod
20	ante	ADP	22	case
21	el	DET	22	det
22	ayuntamiento	NOUN	18	obl
23	para	ADP	24	mark
24	exigir	VERB	18	advcl
25	que	SCONJ	27	mark
26	se	PRON	27	expl:pass
27	depuren	VERB	24	ccomp
28	las	DET	29	det
29	responsabilidades	NOUN	27	nsubj
30	oportunas	ADJ	29	amod
31	.	PUNCT	18	punct