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:
Cette question avait été élaborée avec le ministère public, c'est-à-dire sans doute avec Daniel Trudaine, un proche de Vincent de Gournay et de Bertin.
Postion	Tokenization
1	Cette
2	question
3	avait
4	été
5	élaborée
6	avec
7	le
8	ministère
9	public
10	,
11	c'est-à-dire
12	sans
13	doute
14	avec
15	Daniel
16	Trudaine
17	,
18	un
19	proche
20	de
21	Vincent
22	de
23	Gournay
24	et
25	de
26	Bertin
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	question	NOUN	5	nsubj:pass
3	avait	AUX	5	aux:tense
4	été	AUX	5	aux:pass
5	élaborée	VERB	0	root
6	avec	ADP	8	case
7	le	DET	8	det
8	ministère	NOUN	5	obl:mod
9	public	ADJ	8	amod
10	,	PUNCT	15	punct
11	c'est-à-dire	ADV	15	cc
12	sans	ADP	15	advmod
13	doute	NOUN	12	fixed
14	avec	ADP	15	case
15	Daniel	PROPN	8	conj
16	Trudaine	PROPN	15	flat:name
17	,	PUNCT	19	punct
18	un	DET	19	det
19	proche	NOUN	15	appos
20	de	ADP	21	case
21	Vincent	PROPN	19	nmod
22	de	ADP	21	flat:name
23	Gournay	PROPN	22	flat:name
24	et	CCONJ	26	cc
25	de	ADP	26	case
26	Bertin	PROPN	21	conj
27	.	PUNCT	5	punct