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:
Les Candiacois doivent le nom de leur ville au domaine de Candiac du Château de Candiac situé à Vestric-et-Candiac dans le Gard département du Languedoc en France.
Postion	Tokenization
1	Les
2	Candiacois
3	doivent
4	le
5	nom
6	de
7	leur
8	ville
9	au
10	à
11	le
12	domaine
13	de
14	Candiac
15	du
16	de
17	le
18	Château
19	de
20	Candiac
21	situé
22	à
23	Vestric-et-Candiac
24	dans
25	le
26	Gard
27	département
28	du
29	de
30	le
31	Languedoc
32	en
33	France
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	Candiacois	PROPN	3	nsubj
3	doivent	VERB	0	root
4	le	DET	5	det
5	nom	NOUN	3	obj
6	de	ADP	8	case
7	leur	DET	8	det
8	ville	NOUN	5	nmod
9	au	_	None	_
10	à	ADP	11	case
11	le	DET	11	det
12	domaine	NOUN	3	obl:arg
13	de	ADP	13	case
14	Candiac	PROPN	11	nmod
15	du	_	None	_
16	de	ADP	16	case
17	le	DET	16	det
18	Château	NOUN	11	nmod
19	de	ADP	18	case
20	Candiac	PROPN	16	nmod
21	situé	VERB	16	acl
22	à	ADP	21	case
23	Vestric-et-Candiac	PROPN	19	obl:arg
24	dans	ADP	24	case
25	le	DET	24	det
26	Gard	PROPN	19	obl:arg
27	département	NOUN	24	appos
28	du	_	None	_
29	de	ADP	28	case
30	le	DET	28	det
31	Languedoc	PROPN	25	nmod
32	en	ADP	30	case
33	France	PROPN	25	nmod
34	.	PUNCT	3	punct