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'amélioration de l'accélération des trains, l'introduction des rames automotrices non séparables, et le coût de main-d'œuvre ont entrainé la disparition de cette pratique au milieu du XXe siècle.
Postion	Tokenization
1	L'
2	amélioration
3	de
4	l'
5	accélération
6	des
7	de
8	les
9	trains
10	,
11	l'
12	introduction
13	des
14	de
15	les
16	rames
17	automotrices
18	non
19	séparables
20	,
21	et
22	le
23	coût
24	de
25	main-d'œuvre
26	ont
27	entrainé
28	la
29	disparition
30	de
31	cette
32	pratique
33	au
34	à
35	le
36	milieu
37	du
38	de
39	le
40	XXe
41	siècle
42	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	amélioration	NOUN	25	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	accélération	NOUN	2	nmod
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	trains	NOUN	5	nmod
10	,	PUNCT	11	punct
11	l'	DET	11	det
12	introduction	NOUN	2	conj
13	des	_	None	_
14	de	ADP	14	case
15	les	DET	14	det
16	rames	NOUN	11	nmod
17	automotrices	ADJ	14	amod
18	non	ADV	17	advmod
19	séparables	ADJ	14	amod
20	,	PUNCT	21	punct
21	et	CCONJ	21	cc
22	le	DET	21	det
23	coût	NOUN	2	conj
24	de	ADP	23	case
25	main-d'œuvre	NOUN	21	nmod
26	ont	AUX	25	aux:tense
27	entrainé	VERB	0	root
28	la	DET	27	det
29	disparition	NOUN	25	obj
30	de	ADP	30	case
31	cette	DET	30	det
32	pratique	NOUN	27	nmod
33	au	_	None	_
34	à	ADP	33	case
35	le	DET	33	det
36	milieu	NOUN	25	obl:mod
37	du	_	None	_
38	de	ADP	37	case
39	le	DET	37	det
40	XXe	ADJ	37	amod
41	siècle	NOUN	33	nmod
42	.	PUNCT	25	punct