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:
La juez dejó en libertad el Jueves por la noche al vecino de Calonge Xavier C.R., detenido el Martes como presunto autor de cuatro incendios en la zona.
Postion	Tokenization
1	La
2	juez
3	dejó
4	en
5	libertad
6	el
7	Jueves
8	por
9	la
10	noche
11	al
12	vecino
13	de
14	Calonge
15	Xavier
16	C.R.
17	,
18	detenido
19	el
20	Martes
21	como
22	presunto
23	autor
24	de
25	cuatro
26	incendios
27	en
28	la
29	zona
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	juez	NOUN	3	nsubj
3	dejó	VERB	0	root
4	en	ADP	5	case
5	libertad	NOUN	3	obj
6	el	DET	7	det
7	Jueves	NOUN	3	obl
8	por	ADP	10	case
9	la	DET	10	det
10	noche	NOUN	7	nmod
11	al	ADP	12	case
12	vecino	NOUN	3	obj
13	de	ADP	14	case
14	Calonge	PROPN	12	nmod
15	Xavier	PROPN	12	appos
16	C.R.	PROPN	15	flat
17	,	PUNCT	18	punct
18	detenido	ADJ	12	amod
19	el	DET	20	det
20	Martes	NOUN	18	obl
21	como	SCONJ	23	mark
22	presunto	ADJ	23	amod
23	autor	NOUN	18	obj
24	de	ADP	26	case
25	cuatro	NUM	26	nummod
26	incendios	NOUN	23	nmod
27	en	ADP	29	case
28	la	DET	29	det
29	zona	NOUN	26	nmod
30	.	PUNCT	3	punct