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:
Ceci aura un effet d'entraînement sur le tourisme, sur les liaisons aériennes, sur l'hôtellerie, sur l'image de votre territoire en métropole ", a-t-il assuré.
Postion	Tokenization
1	Ceci
2	aura
3	un
4	effet
5	d'
6	entraînement
7	sur
8	le
9	tourisme
10	,
11	sur
12	les
13	liaisons
14	aériennes
15	,
16	sur
17	l'
18	hôtellerie
19	,
20	sur
21	l'
22	image
23	de
24	votre
25	territoire
26	en
27	métropole
28	"
29	,
30	a
31	-t
32	-il
33	assuré
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ceci	PRON	2	nsubj
2	aura	VERB	0	root
3	un	DET	4	det
4	effet	NOUN	2	obj
5	d'	ADP	6	case
6	entraînement	NOUN	4	nmod
7	sur	ADP	9	case
8	le	DET	9	det
9	tourisme	NOUN	4	nmod
10	,	PUNCT	13	punct
11	sur	ADP	13	case
12	les	DET	13	det
13	liaisons	NOUN	9	conj
14	aériennes	ADJ	13	amod
15	,	PUNCT	18	punct
16	sur	ADP	18	case
17	l'	DET	18	det
18	hôtellerie	NOUN	9	conj
19	,	PUNCT	22	punct
20	sur	ADP	22	case
21	l'	DET	22	det
22	image	NOUN	9	conj
23	de	ADP	25	case
24	votre	DET	25	det
25	territoire	NOUN	22	nmod
26	en	ADP	27	case
27	métropole	NOUN	22	nmod
28	"	PUNCT	33	punct
29	,	PUNCT	33	punct
30	a	AUX	33	aux:tense
31	-t	PART	32	dep
32	-il	PRON	33	nsubj
33	assuré	VERB	2	parataxis
34	.	PUNCT	2	punct