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:
En effet, dans une molécule, lorsque les atomes de part et d'autre de la liaison covalente ont des électronégativités différentes, l'atome le plus électronégatif attire davantage les électrons.
Postion	Tokenization
1	En
2	effet
3	,
4	dans
5	une
6	molécule
7	,
8	lorsque
9	les
10	atomes
11	de
12	part
13	et
14	d'
15	autre
16	de
17	la
18	liaison
19	covalente
20	ont
21	des
22	électronégativités
23	différentes
24	,
25	l'
26	atome
27	le
28	plus
29	électronégatif
30	attire
31	davantage
32	les
33	électrons
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	30	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	dans	ADP	6	case
5	une	DET	6	det
6	molécule	NOUN	30	obl:mod
7	,	PUNCT	6	punct
8	lorsque	SCONJ	20	mark
9	les	DET	10	det
10	atomes	NOUN	20	nsubj
11	de	ADP	10	advmod
12	part	NOUN	11	fixed
13	et	CCONJ	11	fixed
14	d'	ADP	11	fixed
15	autre	PRON	11	fixed
16	de	ADP	18	case
17	la	DET	18	det
18	liaison	NOUN	11	obl:arg
19	covalente	ADJ	18	amod
20	ont	VERB	30	advcl
21	des	DET	22	det
22	électronégativités	NOUN	20	obj
23	différentes	ADJ	22	amod
24	,	PUNCT	22	punct
25	l'	DET	26	det
26	atome	NOUN	30	nsubj
27	le	DET	29	advmod
28	plus	ADV	27	fixed
29	électronégatif	ADJ	26	amod
30	attire	VERB	0	root
31	davantage	ADV	30	advmod
32	les	DET	33	det
33	électrons	NOUN	30	obj
34	.	PUNCT	30	punct