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:
Une bonne étude comparative est lourde en recherche, exprime ses idées clairement (sans se reposer massivement sur un jargon abscon pour aveugler le lecteur), et surtout est impartiale.
Postion	Tokenization
1	Une
2	bonne
3	étude
4	comparative
5	est
6	lourde
7	en
8	recherche
9	,
10	exprime
11	ses
12	idées
13	clairement
14	(
15	sans
16	se
17	reposer
18	massivement
19	sur
20	un
21	jargon
22	abscon
23	pour
24	aveugler
25	le
26	lecteur
27	)
28	,
29	et
30	surtout
31	est
32	impartiale
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	3	det
2	bonne	ADJ	3	amod
3	étude	NOUN	6	nsubj
4	comparative	ADJ	3	amod
5	est	AUX	6	cop
6	lourde	ADJ	0	root
7	en	ADP	8	case
8	recherche	NOUN	6	obl:mod
9	,	PUNCT	10	punct
10	exprime	VERB	6	conj
11	ses	DET	12	det
12	idées	NOUN	10	obj
13	clairement	ADV	10	advmod
14	(	PUNCT	17	punct
15	sans	ADP	17	mark
16	se	PRON	17	dep:comp
17	reposer	VERB	10	advcl
18	massivement	ADV	17	advmod
19	sur	ADP	21	case
20	un	DET	21	det
21	jargon	NOUN	17	obl:mod
22	abscon	ADJ	21	amod
23	pour	ADP	24	mark
24	aveugler	VERB	17	advcl
25	le	DET	26	det
26	lecteur	NOUN	24	obj
27	)	PUNCT	17	punct
28	,	PUNCT	32	punct
29	et	CCONJ	32	cc
30	surtout	ADV	32	advmod
31	est	AUX	32	cop
32	impartiale	ADJ	6	conj
33	.	PUNCT	6	punct