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:
Elle crée la plupart des costumes de la poupée Bleuette, illustre le journal La Semaine de Suzette (Gautier-Languereau), publie chez Nathan des panneaux pour les écoles.
Postion	Tokenization
1	Elle
2	crée
3	la
4	plupart
5	des
6	de
7	les
8	costumes
9	de
10	la
11	poupée
12	Bleuette
13	,
14	illustre
15	le
16	journal
17	La
18	Semaine
19	de
20	Suzette
21	(
22	Gautier-Languereau
23	)
24	,
25	publie
26	chez
27	Nathan
28	des
29	de
30	les
31	panneaux
32	pour
33	les
34	écoles
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	crée	VERB	0	root
3	la	DET	4	det
4	plupart	NOUN	2	obj
5	des	_	None	_
6	de	ADP	7	case
7	les	DET	7	det
8	costumes	NOUN	4	nmod
9	de	ADP	10	case
10	la	DET	10	det
11	poupée	NOUN	7	nmod
12	Bleuette	PROPN	10	appos
13	,	PUNCT	13	punct
14	illustre	VERB	2	conj
15	le	DET	15	det
16	journal	NOUN	13	obj
17	La	PROPN	15	appos
18	Semaine	PROPN	16	flat:name
19	de	ADP	19	case
20	Suzette	PROPN	16	nmod
21	(	PUNCT	21	punct
22	Gautier-Languereau	PROPN	16	appos
23	)	PUNCT	21	punct
24	,	PUNCT	24	punct
25	publie	VERB	2	conj
26	chez	ADP	26	case
27	Nathan	PROPN	24	obl:mod
28	des	_	None	_
29	de	ADP	29	case
30	les	DET	29	det
31	panneaux	NOUN	26	nmod
32	pour	ADP	32	case
33	les	DET	32	det
34	écoles	NOUN	24	obl:mod
35	.	PUNCT	2	punct