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:
Dans ce que l'auteur appelle une approche minimaliste, ses écrits utilisent un vocabulaire limité et des phrases courtes pour simuler la manière dont un individu moyen raconterait une histoire.
Postion	Tokenization
1	Dans
2	ce
3	que
4	l'
5	auteur
6	appelle
7	une
8	approche
9	minimaliste
10	,
11	ses
12	écrits
13	utilisent
14	un
15	vocabulaire
16	limité
17	et
18	des
19	phrases
20	courtes
21	pour
22	simuler
23	la
24	manière
25	dont
26	un
27	individu
28	moyen
29	raconterait
30	une
31	histoire
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	2	case
2	ce	PRON	13	obl:mod
3	que	PRON	6	obj
4	l'	DET	5	det
5	auteur	NOUN	6	nsubj
6	appelle	VERB	2	acl:relcl
7	une	DET	8	det
8	approche	NOUN	6	xcomp:pred
9	minimaliste	ADJ	8	amod
10	,	PUNCT	2	punct
11	ses	DET	12	det
12	écrits	NOUN	13	nsubj
13	utilisent	VERB	0	root
14	un	DET	15	det
15	vocabulaire	NOUN	13	obj
16	limité	ADJ	15	amod
17	et	CCONJ	19	cc
18	des	DET	19	det
19	phrases	NOUN	15	conj
20	courtes	ADJ	19	amod
21	pour	ADP	22	mark
22	simuler	VERB	13	advcl
23	la	DET	24	det
24	manière	NOUN	22	obj
25	dont	PRON	29	advcl
26	un	DET	27	det
27	individu	NOUN	29	nsubj
28	moyen	ADJ	27	amod
29	raconterait	VERB	24	acl:relcl
30	une	DET	31	det
31	histoire	NOUN	29	obj
32	.	PUNCT	13	punct