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, lors d'un essai de traction sur ces derniers, du vide se forme au sein des chaînes, d'où une augmentation du volume total.
Postion	Tokenization
1	En
2	effet
3	,
4	lors
5	d'
6	un
7	essai
8	de
9	traction
10	sur
11	ces
12	derniers
13	,
14	du
15	vide
16	se
17	forme
18	au
19	à
20	le
21	sein
22	des
23	de
24	les
25	chaînes
26	,
27	d'
28	où
29	une
30	augmentation
31	du
32	de
33	le
34	volume
35	total
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	17	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	lors	ADV	17	advmod
5	d'	ADP	7	case
6	un	DET	7	det
7	essai	NOUN	4	obl:arg
8	de	ADP	9	case
9	traction	NOUN	7	nmod
10	sur	ADP	12	case
11	ces	DET	12	det
12	derniers	ADJ	7	nmod
13	,	PUNCT	4	punct
14	du	DET	15	det
15	vide	NOUN	17	nsubj:pass
16	se	PRON	17	expl:pass
17	forme	VERB	0	root
18	au	_	None	_
19	à	ADP	20	case
20	le	DET	20	det
21	sein	NOUN	17	obl:mod
22	des	_	None	_
23	de	ADP	23	case
24	les	DET	23	det
25	chaînes	NOUN	20	nmod
26	,	PUNCT	28	punct
27	d'	ADP	28	case
28	où	ADV	25	fixed
29	une	DET	28	det
30	augmentation	NOUN	17	obl:mod
31	du	_	None	_
32	de	ADP	31	case
33	le	DET	31	det
34	volume	NOUN	28	nmod
35	total	ADJ	31	amod
36	.	PUNCT	17	punct