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 existe assez peu de contes proprement dits qui mettent en scène la came-cruse : elle relève plutôt des superstitions et des croyances populaires, atténuées avec le temps et « folklorisées ».
Postion	Tokenization
1	Il
2	existe
3	assez
4	peu
5	de
6	contes
7	proprement
8	dits
9	qui
10	mettent
11	en
12	scène
13	la
14	came-cruse
15	:
16	elle
17	relève
18	plutôt
19	des
20	superstitions
21	et
22	des
23	croyances
24	populaires
25	,
26	atténuées
27	avec
28	le
29	temps
30	et
31	«
32	folklorisées
33	»
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	expl:subj
2	existe	VERB	0	root
3	assez	ADV	4	advmod
4	peu	ADV	2	nsubj
5	de	ADP	6	case
6	contes	NOUN	4	dep:comp
7	proprement	ADV	8	advmod
8	dits	VERB	6	acl
9	qui	PRON	10	nsubj
10	mettent	VERB	6	acl:relcl
11	en	ADP	12	case
12	scène	NOUN	10	obl:mod
13	la	DET	14	det
14	came-cruse	NOUN	10	obj
15	:	PUNCT	17	punct
16	elle	PRON	17	nsubj
17	relève	VERB	2	parataxis
18	plutôt	ADV	17	advmod
19	des	DET	20	det
20	superstitions	NOUN	17	obj
21	et	CCONJ	23	cc
22	des	DET	23	det
23	croyances	NOUN	20	conj
24	populaires	ADJ	23	amod
25	,	PUNCT	26	punct
26	atténuées	VERB	20	acl
27	avec	ADP	29	case
28	le	DET	29	det
29	temps	NOUN	26	obl:mod
30	et	CCONJ	32	cc
31	«	PUNCT	32	punct
32	folklorisées	VERB	26	conj
33	»	PUNCT	32	punct
34	.	PUNCT	2	punct