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:
En octobre 1792, elle l'abandonna pour prendre celui de « Molière et Lafontaine », et enfin, en septembre 1793, celui de « Brutus ».
Postion	Tokenization
1	En
2	octobre
3	1792
4	,
5	elle
6	l'
7	abandonna
8	pour
9	prendre
10	celui
11	de
12	«
13	Molière
14	et
15	Lafontaine
16	»
17	,
18	et
19	enfin
20	,
21	en
22	septembre
23	1793
24	,
25	celui
26	de
27	«
28	Brutus
29	»
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	octobre	NOUN	7	obl:mod
3	1792	NUM	2	nmod
4	,	PUNCT	2	punct
5	elle	PRON	7	nsubj
6	l'	PRON	7	obj
7	abandonna	VERB	0	root
8	pour	ADP	9	mark
9	prendre	VERB	7	advcl
10	celui	PRON	9	obj
11	de	ADP	13	case
12	«	PUNCT	13	punct
13	Molière	PROPN	10	nmod
14	et	CCONJ	15	cc
15	Lafontaine	PROPN	13	conj
16	»	PUNCT	13	punct
17	,	PUNCT	25	punct
18	et	CCONJ	25	cc
19	enfin	ADV	25	advmod
20	,	PUNCT	22	punct
21	en	ADP	22	case
22	septembre	NOUN	25	nmod
23	1793	NUM	22	nmod
24	,	PUNCT	22	punct
25	celui	PRON	10	conj
26	de	ADP	28	case
27	«	PUNCT	28	punct
28	Brutus	PROPN	25	nmod
29	»	PUNCT	28	punct
30	.	PUNCT	7	punct