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:
Un centenar de personas se manifestaron ayer en Barcelona en solidaridad con los presos de Quatre Camins, donde el miércoles se registró un violento motín.
Postion	Tokenization
1	Un
2	centenar
3	de
4	personas
5	se
6	manifestaron
7	ayer
8	en
9	Barcelona
10	en
11	solidaridad
12	con
13	los
14	presos
15	de
16	Quatre
17	Camins
18	,
19	donde
20	el
21	miércoles
22	se
23	registró
24	un
25	violento
26	motín
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	centenar	NOUN	4	nmod
3	de	ADP	2	case
4	personas	NOUN	6	nsubj
5	se	PRON	6	expl:pv
6	manifestaron	VERB	0	root
7	ayer	ADV	6	advmod
8	en	ADP	9	case
9	Barcelona	PROPN	6	obl
10	en	ADP	11	case
11	solidaridad	NOUN	6	obl
12	con	ADP	14	case
13	los	DET	14	det
14	presos	NOUN	11	nmod
15	de	ADP	16	case
16	Quatre	NUM	14	nmod
17	Camins	PROPN	16	flat
18	,	PUNCT	23	punct
19	donde	PRON	23	obl
20	el	DET	21	det
21	miércoles	NOUN	23	obl
22	se	PRON	23	expl:pass
23	registró	VERB	16	acl
24	un	DET	26	det
25	violento	ADJ	26	amod
26	motín	NOUN	23	nsubj
27	.	PUNCT	6	punct