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:
Il est aussi à noter, depuis 2008, le grand retour du persan en Maurienne, son berceau d'origine, grâce au travail acharné de l'association d'insertion Solid'Art.
Postion	Tokenization
1	Il
2	est
3	aussi
4	à
5	noter
6	,
7	depuis
8	2008
9	,
10	le
11	grand
12	retour
13	du
14	de
15	le
16	persan
17	en
18	Maurienne
19	,
20	son
21	berceau
22	d'
23	origine
24	,
25	grâce
26	au
27	à
28	le
29	travail
30	acharné
31	de
32	l'
33	association
34	d'
35	insertion
36	Solid'Art
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	expl:subj
2	est	VERB	0	root
3	aussi	ADV	2	advmod
4	à	ADP	5	mark
5	noter	VERB	2	ccomp:pred
6	,	PUNCT	12	punct
7	depuis	ADP	8	case
8	2008	NUM	12	nmod
9	,	PUNCT	8	punct
10	le	DET	12	det
11	grand	ADJ	12	amod
12	retour	NOUN	2	nsubj
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	persan	NOUN	12	nmod
17	en	ADP	17	case
18	Maurienne	PROPN	12	nmod
19	,	PUNCT	20	punct
20	son	DET	20	det
21	berceau	NOUN	17	appos
22	d'	ADP	22	case
23	origine	NOUN	20	nmod
24	,	PUNCT	20	punct
25	grâce	NOUN	27	case
26	au	_	None	_
27	à	ADP	24	fixed
28	le	DET	27	det
29	travail	NOUN	12	nmod
30	acharné	VERB	27	acl
31	de	ADP	31	case
32	l'	DET	31	det
33	association	NOUN	28	obl:mod
34	d'	ADP	33	case
35	insertion	NOUN	31	nmod
36	Solid'Art	PROPN	31	appos
37	.	PUNCT	2	punct