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 los últimos meses han atacado dos veces con cócteles molotov la casa okupada en la calle de Arimon y un joven fue detenido a raíz de un incendio en el inmueble mientras los squatters dormían.
Postion	Tokenization
1	En
2	los
3	últimos
4	meses
5	han
6	atacado
7	dos
8	veces
9	con
10	cócteles
11	molotov
12	la
13	casa
14	okupada
15	en
16	la
17	calle
18	de
19	Arimon
20	y
21	un
22	joven
23	fue
24	detenido
25	a
26	raíz
27	de
28	un
29	incendio
30	en
31	el
32	inmueble
33	mientras
34	los
35	squatters
36	dormían
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	los	DET	4	det
3	últimos	ADJ	4	amod
4	meses	NOUN	6	obl
5	han	AUX	6	aux
6	atacado	VERB	0	root
7	dos	NUM	8	nummod
8	veces	NOUN	6	obl
9	con	ADP	10	case
10	cócteles	NOUN	6	obl
11	molotov	NOUN	10	compound
12	la	DET	13	det
13	casa	NOUN	6	obj
14	okupada	ADJ	13	amod
15	en	ADP	17	case
16	la	DET	17	det
17	calle	NOUN	14	obl
18	de	ADP	19	case
19	Arimon	PROPN	17	nmod
20	y	CCONJ	24	cc
21	un	DET	22	det
22	joven	NOUN	24	nsubj
23	fue	AUX	24	aux
24	detenido	VERB	6	conj
25	a	ADP	29	case
26	raíz	NOUN	25	fixed
27	de	ADP	25	fixed
28	un	DET	29	det
29	incendio	NOUN	24	obl
30	en	ADP	32	case
31	el	DET	32	det
32	inmueble	NOUN	29	nmod
33	mientras	SCONJ	36	mark
34	los	DET	35	det
35	squatters	NOUN	36	nsubj
36	dormían	VERB	29	acl
37	.	PUNCT	6	punct