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:
Le cinéma de Noirmoutier a une programmation riche et variée : films d'animation pour enfants, films français et étrangers (parfois en VO, merci !)
Postion	Tokenization
1	Le
2	cinéma
3	de
4	Noirmoutier
5	a
6	une
7	programmation
8	riche
9	et
10	variée
11	:
12	films
13	d'
14	animation
15	pour
16	enfants
17	,
18	films
19	français
20	et
21	étrangers
22	(
23	parfois
24	en
25	VO
26	,
27	merci
28	!
29	)
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	cinéma	NOUN	5	nsubj
3	de	ADP	4	case
4	Noirmoutier	PROPN	2	nmod
5	a	VERB	0	root
6	une	DET	7	det
7	programmation	NOUN	5	obj
8	riche	ADJ	7	amod
9	et	CCONJ	10	cc
10	variée	ADJ	8	conj
11	:	PUNCT	12	punct
12	films	NOUN	7	appos
13	d'	ADP	14	case
14	animation	NOUN	12	nmod
15	pour	ADP	16	case
16	enfants	NOUN	12	nmod
17	,	PUNCT	18	punct
18	films	NOUN	12	conj
19	français	ADJ	18	amod
20	et	CCONJ	21	cc
21	étrangers	ADJ	19	conj
22	(	PUNCT	25	punct
23	parfois	ADV	25	advmod
24	en	ADP	25	case
25	VO	NOUN	18	nmod
26	,	PUNCT	27	punct
27	merci	INTJ	25	discourse
28	!	PUNCT	25	punct
29	)	PUNCT	25	punct