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:
L'église Saint-Jean-Baptiste était au Moyen Âge l'une des plus importantes de la vallée du Loir mais elle fut presque totalement brûlée en 1705 et reconstruite en 1733.
Postion	Tokenization
1	L'
2	église
3	Saint-Jean-Baptiste
4	était
5	au
6	à
7	le
8	Moyen
9	Âge
10	l'
11	une
12	des
13	de
14	les
15	plus
16	importantes
17	de
18	la
19	vallée
20	du
21	de
22	le
23	Loir
24	mais
25	elle
26	fut
27	presque
28	totalement
29	brûlée
30	en
31	1705
32	et
33	reconstruite
34	en
35	1733
36	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	église	NOUN	10	nsubj
3	Saint-Jean-Baptiste	PROPN	2	appos
4	était	AUX	10	cop
5	au	_	None	_
6	à	ADP	8	case
7	le	DET	8	det
8	Moyen	ADJ	8	amod
9	Âge	NOUN	10	obl:mod
10	l'	DET	10	det
11	une	PRON	0	root
12	des	_	None	_
13	de	ADP	14	case
14	les	DET	14	det
15	plus	ADV	14	advmod
16	importantes	ADJ	10	nmod
17	de	ADP	17	case
18	la	DET	17	det
19	vallée	NOUN	14	nmod
20	du	_	None	_
21	de	ADP	20	case
22	le	DET	20	det
23	Loir	PROPN	17	nmod
24	mais	CCONJ	26	cc
25	elle	PRON	26	nsubj:pass
26	fut	AUX	26	aux:pass
27	presque	ADV	25	advmod
28	totalement	ADV	26	advmod
29	brûlée	VERB	10	conj
30	en	ADP	28	case
31	1705	NUM	26	obl:mod
32	et	CCONJ	30	cc
33	reconstruite	VERB	26	conj
34	en	ADP	32	case
35	1733	NUM	30	obl:mod
36	.	PUNCT	10	punct