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:
Le reste de la rivière entre ces deux points revient à Benjamin A. Scott, un entrepreneur de Chicoutimi qui gère une scierie à Roberval.
Postion	Tokenization
1	Le
2	reste
3	de
4	la
5	rivière
6	entre
7	ces
8	deux
9	points
10	revient
11	à
12	Benjamin
13	A.
14	Scott
15	,
16	un
17	entrepreneur
18	de
19	Chicoutimi
20	qui
21	gère
22	une
23	scierie
24	à
25	Roberval
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	reste	NOUN	10	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	rivière	NOUN	2	nmod
6	entre	ADP	9	case
7	ces	DET	9	det
8	deux	NUM	9	nummod
9	points	NOUN	2	nmod
10	revient	VERB	0	root
11	à	ADP	12	case
12	Benjamin	PROPN	10	obl:arg
13	A.	PROPN	12	flat:name
14	Scott	PROPN	13	flat:name
15	,	PUNCT	17	punct
16	un	DET	17	det
17	entrepreneur	NOUN	12	appos
18	de	ADP	19	case
19	Chicoutimi	PROPN	17	nmod
20	qui	PRON	21	nsubj
21	gère	VERB	17	acl:relcl
22	une	DET	23	det
23	scierie	NOUN	21	obj
24	à	ADP	25	case
25	Roberval	PROPN	21	obl:mod
26	.	PUNCT	10	punct