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 3 septembre, il co-signa une circulaire du comité justifiant les massacres de Septembre et considérée comme un appel à imiter l'exemple de la « brave commune de Paris ».
Postion	Tokenization
1	Le
2	3
3	septembre
4	,
5	il
6	co-signa
7	une
8	circulaire
9	du
10	de
11	le
12	comité
13	justifiant
14	les
15	massacres
16	de
17	Septembre
18	et
19	considérée
20	comme
21	un
22	appel
23	à
24	imiter
25	l'
26	exemple
27	de
28	la
29	«
30	brave
31	commune
32	de
33	Paris
34	»
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	3	NUM	6	obl:mod
3	septembre	NOUN	2	nmod
4	,	PUNCT	2	punct
5	il	PRON	6	nsubj
6	co-signa	VERB	0	root
7	une	DET	8	det
8	circulaire	NOUN	6	obj
9	du	_	None	_
10	de	ADP	11	case
11	le	DET	11	det
12	comité	NOUN	8	nmod
13	justifiant	VERB	8	acl
14	les	DET	14	det
15	massacres	NOUN	12	obj
16	de	ADP	16	case
17	Septembre	NOUN	14	nmod
18	et	CCONJ	18	cc
19	considérée	VERB	12	conj
20	comme	ADP	21	case
21	un	DET	21	det
22	appel	NOUN	18	xcomp:pred
23	à	ADP	23	mark
24	imiter	VERB	21	acl
25	l'	DET	25	det
26	exemple	NOUN	23	obj
27	de	ADP	30	case
28	la	DET	30	det
29	«	PUNCT	30	punct
30	brave	ADJ	30	amod
31	commune	NOUN	25	nmod
32	de	ADP	32	case
33	Paris	PROPN	30	nmod
34	»	PUNCT	30	punct
35	.	PUNCT	6	punct