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:
Avant la messe de la Nativité concélébrée par le curé François Burger et l'abbé Roger Masson, une trentaine d'enfants ont reconstitué la naissance de Jésus, comme l'a légué la tradition chrétienne.
Postion	Tokenization
1	Avant
2	la
3	messe
4	de
5	la
6	Nativité
7	concélébrée
8	par
9	le
10	curé
11	François
12	Burger
13	et
14	l'
15	abbé
16	Roger
17	Masson
18	,
19	une
20	trentaine
21	d'
22	enfants
23	ont
24	reconstitué
25	la
26	naissance
27	de
28	Jésus
29	,
30	comme
31	l'
32	a
33	légué
34	la
35	tradition
36	chrétienne
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Avant	ADP	3	case
2	la	DET	3	det
3	messe	NOUN	24	obl:mod
4	de	ADP	6	case
5	la	DET	6	det
6	Nativité	NOUN	3	nmod
7	concélébrée	VERB	3	acl
8	par	ADP	10	case
9	le	DET	10	det
10	curé	NOUN	7	obl:agent
11	François	PROPN	10	appos
12	Burger	PROPN	11	flat:name
13	et	CCONJ	15	cc
14	l'	DET	15	det
15	abbé	NOUN	10	conj
16	Roger	PROPN	15	appos
17	Masson	PROPN	16	flat:name
18	,	PUNCT	3	punct
19	une	NUM	20	nummod
20	trentaine	NOUN	24	nsubj
21	d'	ADP	22	case
22	enfants	NOUN	20	nmod
23	ont	AUX	24	aux:tense
24	reconstitué	VERB	0	root
25	la	DET	26	det
26	naissance	NOUN	24	obj
27	de	ADP	28	case
28	Jésus	PROPN	26	nmod
29	,	PUNCT	33	punct
30	comme	SCONJ	33	mark
31	l'	PRON	33	obj
32	a	AUX	33	aux:tense
33	légué	VERB	24	advcl
34	la	DET	35	det
35	tradition	NOUN	33	nsubj
36	chrétienne	ADJ	35	amod
37	.	PUNCT	24	punct