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 syndicat mixte du Pays des Vallées d'Anjou (SMPVA) regroupe six communautés de communes : Beaufort-en-Anjou, Canton de Baugé, Canton de Noyant, Loir-et-Sarthe, Loire Longué, Portes-de-l'Anjou.
Postion	Tokenization
1	Le
2	syndicat
3	mixte
4	du
5	de
6	le
7	Pays
8	des
9	de
10	les
11	Vallées
12	d'
13	Anjou
14	(
15	SMPVA
16	)
17	regroupe
18	six
19	communautés
20	de
21	communes
22	:
23	Beaufort-en-Anjou
24	,
25	Canton
26	de
27	Baugé
28	,
29	Canton
30	de
31	Noyant
32	,
33	Loir-et-Sarthe
34	,
35	Loire
36	Longué
37	,
38	Portes-de-l'Anjou
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	syndicat	NOUN	15	nsubj
3	mixte	ADJ	2	amod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	Pays	NOUN	2	nmod
8	des	_	None	_
9	de	ADP	9	case
10	les	DET	9	det
11	Vallées	NOUN	6	nmod
12	d'	ADP	11	case
13	Anjou	PROPN	9	nmod
14	(	PUNCT	13	punct
15	SMPVA	PROPN	2	appos
16	)	PUNCT	13	punct
17	regroupe	VERB	0	root
18	six	NUM	17	nummod
19	communautés	NOUN	15	obj
20	de	ADP	19	case
21	communes	NOUN	17	nmod
22	:	PUNCT	21	punct
23	Beaufort-en-Anjou	PROPN	17	appos
24	,	PUNCT	23	punct
25	Canton	NOUN	21	conj
26	de	ADP	25	case
27	Baugé	PROPN	23	nmod
28	,	PUNCT	27	punct
29	Canton	NOUN	21	conj
30	de	ADP	29	case
31	Noyant	PROPN	27	nmod
32	,	PUNCT	31	punct
33	Loir-et-Sarthe	PROPN	21	conj
34	,	PUNCT	33	punct
35	Loire	PROPN	21	conj
36	Longué	PROPN	33	flat:name
37	,	PUNCT	36	punct
38	Portes-de-l'Anjou	PROPN	21	conj
39	.	PUNCT	15	punct