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:
L'imposture consiste donc à assimiler le mot « abstraction » à gribouillis informe, alors qu'il désigne une réalité précise organisée, même si elle n'est pas directement perceptible par les sens.
Postion	Tokenization
1	L'
2	imposture
3	consiste
4	donc
5	à
6	assimiler
7	le
8	mot
9	«
10	abstraction
11	»
12	à
13	gribouillis
14	informe
15	,
16	alors
17	qu'
18	il
19	désigne
20	une
21	réalité
22	précise
23	organisée
24	,
25	même
26	si
27	elle
28	n'
29	est
30	pas
31	directement
32	perceptible
33	par
34	les
35	sens
36	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	imposture	NOUN	3	nsubj
3	consiste	VERB	0	root
4	donc	ADV	3	advmod
5	à	ADP	6	mark
6	assimiler	VERB	3	xcomp:obl
7	le	DET	8	det
8	mot	NOUN	6	obj
9	«	PUNCT	10	punct
10	abstraction	NOUN	8	appos
11	»	PUNCT	10	punct
12	à	ADP	13	case
13	gribouillis	NOUN	6	obl:arg
14	informe	ADJ	13	amod
15	,	PUNCT	19	punct
16	alors	ADV	19	mark
17	qu'	SCONJ	16	fixed
18	il	PRON	19	nsubj
19	désigne	VERB	3	advcl
20	une	DET	21	det
21	réalité	NOUN	19	obj
22	précise	ADJ	21	amod
23	organisée	ADJ	21	amod
24	,	PUNCT	32	punct
25	même	ADV	32	advmod
26	si	SCONJ	32	mark
27	elle	PRON	32	nsubj
28	n'	ADV	32	advmod
29	est	AUX	32	cop
30	pas	ADV	32	advmod
31	directement	ADV	32	advmod
32	perceptible	ADJ	19	advcl
33	par	ADP	35	case
34	les	DET	35	det
35	sens	NOUN	32	obl:arg
36	.	PUNCT	3	punct