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:
Salvo Montalbano est un personnage de fiction récurrent de l'œuvre d'Andrea Camilleri, un commissaire de police de la bourgade (fictive) de Vigata (en fait Porto Empedocle), en Sicile.
Postion	Tokenization
1	Salvo
2	Montalbano
3	est
4	un
5	personnage
6	de
7	fiction
8	récurrent
9	de
10	l'
11	œuvre
12	d'
13	Andrea
14	Camilleri
15	,
16	un
17	commissaire
18	de
19	police
20	de
21	la
22	bourgade
23	(
24	fictive
25	)
26	de
27	Vigata
28	(
29	en
30	fait
31	Porto
32	Empedocle
33	)
34	,
35	en
36	Sicile
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Salvo	PROPN	5	nsubj
2	Montalbano	PROPN	1	flat:name
3	est	AUX	5	cop
4	un	DET	5	det
5	personnage	NOUN	0	root
6	de	ADP	7	case
7	fiction	NOUN	5	nmod
8	récurrent	ADJ	5	amod
9	de	ADP	11	case
10	l'	DET	11	det
11	œuvre	NOUN	8	obl:mod
12	d'	ADP	13	case
13	Andrea	PROPN	11	nmod
14	Camilleri	PROPN	13	flat:name
15	,	PUNCT	17	punct
16	un	DET	17	det
17	commissaire	NOUN	5	appos
18	de	ADP	19	case
19	police	NOUN	17	nmod
20	de	ADP	22	case
21	la	DET	22	det
22	bourgade	NOUN	17	nmod
23	(	PUNCT	24	punct
24	fictive	ADJ	22	amod
25	)	PUNCT	24	punct
26	de	ADP	27	case
27	Vigata	PROPN	22	nmod
28	(	PUNCT	31	punct
29	en	ADP	31	advmod
30	fait	NOUN	29	fixed
31	Porto	PROPN	27	appos
32	Empedocle	PROPN	31	flat:name
33	)	PUNCT	31	punct
34	,	PUNCT	36	punct
35	en	ADP	36	case
36	Sicile	PROPN	27	nmod
37	.	PUNCT	5	punct