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:
La création d'un métro à Bordeaux a été annoncée en 1986 mais des études (coût pour la ville : 300 millions de francs) ont montré que ce mode de transport n'était pas adapté à la ville de Bordeaux et que sa construction se révélait très coûteuse : seulement deux lignes prévues, dont une de 15,7 km et l'autre de 6,3 km, pour près de 7 milliards de francs.
Postion	Tokenization
1	La
2	création
3	d'
4	un
5	métro
6	à
7	Bordeaux
8	a
9	été
10	annoncée
11	en
12	1986
13	mais
14	des
15	études
16	(
17	coût
18	pour
19	la
20	ville
21	:
22	300
23	millions
24	de
25	francs
26	)
27	ont
28	montré
29	que
30	ce
31	mode
32	de
33	transport
34	n'
35	était
36	pas
37	adapté
38	à
39	la
40	ville
41	de
42	Bordeaux
43	et
44	que
45	sa
46	construction
47	se
48	révélait
49	très
50	coûteuse
51	:
52	seulement
53	deux
54	lignes
55	prévues
56	,
57	dont
58	une
59	de
60	15,7
61	km
62	et
63	l'
64	autre
65	de
66	6,3
67	km
68	,
69	pour
70	près
71	de
72	7
73	milliards
74	de
75	francs
76	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	création	NOUN	10	nsubj:pass
3	d'	ADP	5	case
4	un	DET	5	det
5	métro	NOUN	2	nmod
6	à	ADP	7	case
7	Bordeaux	PROPN	2	nmod
8	a	AUX	10	aux:tense
9	été	AUX	10	aux:pass
10	annoncée	VERB	0	root
11	en	ADP	12	case
12	1986	NUM	10	obl:mod
13	mais	CCONJ	28	cc
14	des	DET	15	det
15	études	NOUN	28	nsubj
16	(	PUNCT	17	punct
17	coût	NOUN	15	appos
18	pour	ADP	20	case
19	la	DET	20	det
20	ville	NOUN	17	nmod
21	:	PUNCT	23	punct
22	300	NUM	23	nummod
23	millions	NOUN	17	conj
24	de	ADP	25	case
25	francs	NOUN	23	nmod
26	)	PUNCT	17	punct
27	ont	AUX	28	aux:tense
28	montré	VERB	10	conj
29	que	SCONJ	37	mark
30	ce	DET	31	det
31	mode	NOUN	37	nsubj
32	de	ADP	33	case
33	transport	NOUN	31	nmod
34	n'	ADV	37	advmod
35	était	AUX	37	aux:tense
36	pas	ADV	37	advmod
37	adapté	VERB	28	ccomp:obj
38	à	ADP	40	case
39	la	DET	40	det
40	ville	NOUN	37	obl:arg
41	de	ADP	42	case
42	Bordeaux	PROPN	40	nmod
43	et	CCONJ	48	cc
44	que	SCONJ	48	mark
45	sa	DET	46	det
46	construction	NOUN	48	nsubj
47	se	PRON	48	dep:comp
48	révélait	VERB	37	conj
49	très	ADV	50	advmod
50	coûteuse	ADJ	48	xcomp:pred
51	:	PUNCT	54	punct
52	seulement	ADV	53	advmod
53	deux	NUM	54	nummod
54	lignes	NOUN	48	parataxis
55	prévues	ADJ	54	amod
56	,	PUNCT	58	punct
57	dont	PRON	58	nmod
58	une	PRON	54	appos
59	de	ADP	61	case
60	15,7	NUM	61	nummod
61	km	NOUN	58	nmod
62	et	CCONJ	64	cc
63	l'	DET	64	det
64	autre	PRON	58	conj
65	de	ADP	67	case
66	6,3	NUM	67	nummod
67	km	NOUN	64	nmod
68	,	PUNCT	70	punct
69	pour	ADP	70	case
70	près	ADV	54	nmod
71	de	ADP	73	case
72	7	NUM	73	nummod
73	milliards	NOUN	70	dep:comp
74	de	ADP	75	case
75	francs	NOUN	73	nmod
76	.	PUNCT	10	punct