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:
Les registres du Conseil de Brabant montre au cours du XVIIIe siècle une augmentation constante des cas traités en français.
Postion	Tokenization
1	Les
2	registres
3	du
4	de
5	le
6	Conseil
7	de
8	Brabant
9	montre
10	au
11	à
12	le
13	cours
14	du
15	de
16	le
17	XVIIIe
18	siècle
19	une
20	augmentation
21	constante
22	des
23	de
24	les
25	cas
26	traités
27	en
28	français
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	registres	NOUN	8	nsubj
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	Conseil	NOUN	2	nmod
7	de	ADP	7	case
8	Brabant	PROPN	5	nmod
9	montre	VERB	0	root
10	au	_	None	_
11	à	ADP	11	case
12	le	DET	11	det
13	cours	NOUN	8	obl:mod
14	du	_	None	_
15	de	ADP	15	case
16	le	DET	15	det
17	XVIIIe	ADJ	15	amod
18	siècle	NOUN	11	nmod
19	une	DET	17	det
20	augmentation	NOUN	8	obj
21	constante	ADJ	17	amod
22	des	_	None	_
23	de	ADP	21	case
24	les	DET	21	det
25	cas	NOUN	17	nmod
26	traités	VERB	21	acl
27	en	ADP	24	case
28	français	NOUN	22	obl:mod
29	.	PUNCT	8	punct