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:
Los Mossos d'Esquadra mantienen un retén de 72 agentes en la cárcel de Quatre Camins, en La Roca del Vallès (Vallès Oriental), para prevenir nuevos altercados.
Postion	Tokenization
1	Los
2	Mossos
3	d'Esquadra
4	mantienen
5	un
6	retén
7	de
8	72
9	agentes
10	en
11	la
12	cárcel
13	de
14	Quatre
15	Camins
16	,
17	en
18	La
19	Roca
20	del
21	Vallès
22	(
23	Vallès
24	Oriental
25	)
26	,
27	para
28	prevenir
29	nuevos
30	altercados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	Mossos	PROPN	4	nsubj
3	d'Esquadra	PROPN	2	flat
4	mantienen	VERB	0	root
5	un	DET	6	det
6	retén	NOUN	4	obj
7	de	ADP	9	case
8	72	NUM	9	nummod
9	agentes	NOUN	6	nmod
10	en	ADP	12	case
11	la	DET	12	det
12	cárcel	NOUN	4	obl
13	de	ADP	14	case
14	Quatre	NUM	12	nmod
15	Camins	PROPN	14	flat
16	,	PUNCT	19	punct
17	en	ADP	19	case
18	La	DET	19	det
19	Roca	PROPN	14	nmod
20	del	ADP	21	case
21	Vallès	PROPN	18	flat
22	(	PUNCT	23	punct
23	Vallès	PROPN	18	appos
24	Oriental	PROPN	23	flat
25	)	PUNCT	23	punct
26	,	PUNCT	28	punct
27	para	ADP	28	mark
28	prevenir	VERB	4	advcl
29	nuevos	ADJ	30	amod
30	altercados	NOUN	28	obj
31	.	PUNCT	4	punct