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:
A cette question, nous répondrons, de façon précise, parce que dans les semaines à venir, nous organiserons les états généraux de l'éducation.
Postion	Tokenization
1	A
2	cette
3	question
4	,
5	nous
6	répondrons
7	,
8	de
9	façon
10	précise
11	,
12	parce
13	que
14	dans
15	les
16	semaines
17	à
18	venir
19	,
20	nous
21	organiserons
22	les
23	états
24	généraux
25	de
26	l'
27	éducation
28	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	cette	DET	3	det
3	question	NOUN	6	obl:mod
4	,	PUNCT	3	punct
5	nous	PRON	6	nsubj
6	répondrons	VERB	0	root
7	,	PUNCT	9	punct
8	de	ADP	9	case
9	façon	NOUN	6	obl:mod
10	précise	ADJ	9	amod
11	,	PUNCT	21	punct
12	parce	ADV	21	mark
13	que	SCONJ	12	fixed
14	dans	ADP	16	case
15	les	DET	16	det
16	semaines	NOUN	21	obl:mod
17	à	ADP	18	mark
18	venir	VERB	16	acl
19	,	PUNCT	16	punct
20	nous	PRON	21	nsubj
21	organiserons	VERB	6	advcl
22	les	DET	23	det
23	états	NOUN	21	obj
24	généraux	ADJ	23	amod
25	de	ADP	27	case
26	l'	DET	27	det
27	éducation	NOUN	23	nmod
28	.	PUNCT	6	punct