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:
Il reste le plus grand constructeur des « trois de Detroit », berceau historique de l'automobile aux États-Unis, même si sa part de marché dans le pays a suivi son déclin industriel en tombant de 54% en 1954 à 19,6% en 2009.
Postion	Tokenization
1	Il
2	reste
3	le
4	plus
5	grand
6	constructeur
7	des
8	de
9	les
10	«
11	trois
12	de
13	Detroit
14	»
15	,
16	berceau
17	historique
18	de
19	l'
20	automobile
21	aux
22	à
23	les
24	États-Unis
25	,
26	même
27	si
28	sa
29	part
30	de
31	marché
32	dans
33	le
34	pays
35	a
36	suivi
37	son
38	déclin
39	industriel
40	en
41	tombant
42	de
43	54
44	%
45	en
46	1954
47	à
48	19,6
49	%
50	en
51	2009
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	reste	VERB	0	root
3	le	DET	6	det
4	plus	ADV	5	advmod
5	grand	ADJ	6	amod
6	constructeur	NOUN	2	xcomp:pred
7	des	_	None	_
8	de	ADP	10	case
9	les	DET	10	det
10	«	PUNCT	10	punct
11	trois	NUM	6	nmod
12	de	ADP	12	case
13	Detroit	PROPN	10	nmod
14	»	PUNCT	12	punct
15	,	PUNCT	15	punct
16	berceau	NOUN	12	appos
17	historique	ADJ	15	amod
18	de	ADP	19	case
19	l'	DET	19	det
20	automobile	NOUN	15	nmod
21	aux	_	None	_
22	à	ADP	22	case
23	les	DET	22	det
24	États-Unis	PROPN	15	nmod
25	,	PUNCT	34	punct
26	même	ADV	34	advmod
27	si	SCONJ	34	mark
28	sa	DET	27	det
29	part	NOUN	34	nsubj
30	de	ADP	29	case
31	marché	NOUN	27	nmod
32	dans	ADP	32	case
33	le	DET	32	det
34	pays	NOUN	27	nmod
35	a	AUX	34	aux:tense
36	suivi	VERB	2	advcl
37	son	DET	36	det
38	déclin	NOUN	34	obj
39	industriel	ADJ	36	amod
40	en	ADP	39	mark
41	tombant	VERB	34	advcl
42	de	ADP	42	case
43	54	NUM	42	nummod
44	%	SYM	39	obl:mod
45	en	ADP	44	case
46	1954	NUM	42	nmod
47	à	ADP	47	case
48	19,6	NUM	47	nummod
49	%	SYM	42	nmod
50	en	ADP	49	case
51	2009	NUM	47	nmod
52	.	PUNCT	2	punct