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 prévoit que la région acquiert les RIO et les finance par un emprunt sur quinze ans, et que la SNCF verse un loyer à la région en échange.
Postion	Tokenization
1	Il
2	prévoit
3	que
4	la
5	région
6	acquiert
7	les
8	RIO
9	et
10	les
11	finance
12	par
13	un
14	emprunt
15	sur
16	quinze
17	ans
18	,
19	et
20	que
21	la
22	SNCF
23	verse
24	un
25	loyer
26	à
27	la
28	région
29	en
30	échange
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	prévoit	VERB	0	root
3	que	SCONJ	6	mark
4	la	DET	5	det
5	région	NOUN	6	nsubj
6	acquiert	VERB	2	ccomp:obj
7	les	DET	8	det
8	RIO	PROPN	6	obj
9	et	CCONJ	11	cc
10	les	PRON	11	obj
11	finance	VERB	6	conj
12	par	ADP	14	case
13	un	DET	14	det
14	emprunt	NOUN	11	obl:arg
15	sur	ADP	17	case
16	quinze	NUM	17	nummod
17	ans	NOUN	14	nmod
18	,	PUNCT	23	punct
19	et	CCONJ	23	cc
20	que	SCONJ	23	mark
21	la	DET	22	det
22	SNCF	PROPN	23	nsubj
23	verse	VERB	6	conj
24	un	DET	25	det
25	loyer	NOUN	23	obj
26	à	ADP	28	case
27	la	DET	28	det
28	région	NOUN	23	obl:arg
29	en	ADP	30	case
30	échange	NOUN	28	nmod
31	.	PUNCT	2	punct