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:
Il est probable que Alexandre de Batz ait aussi participé au dessin de la batisse car il reçoit des paiements pour son travail sur le nouvel édifice.
Postion	Tokenization
1	Il
2	est
3	probable
4	que
5	Alexandre
6	de
7	Batz
8	ait
9	aussi
10	participé
11	au
12	à
13	le
14	dessin
15	de
16	la
17	batisse
18	car
19	il
20	reçoit
21	des
22	paiements
23	pour
24	son
25	travail
26	sur
27	le
28	nouvel
29	édifice
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	expl:subj
2	est	AUX	3	cop
3	probable	ADJ	0	root
4	que	SCONJ	10	mark
5	Alexandre	PROPN	10	nsubj
6	de	ADP	5	flat:name
7	Batz	PROPN	6	flat:name
8	ait	AUX	10	aux:tense
9	aussi	ADV	10	advmod
10	participé	VERB	3	csubj
11	au	_	None	_
12	à	ADP	13	case
13	le	DET	13	det
14	dessin	NOUN	10	obl:arg
15	de	ADP	16	case
16	la	DET	16	det
17	batisse	NOUN	13	nmod
18	car	CCONJ	19	cc
19	il	PRON	19	nsubj
20	reçoit	VERB	3	conj
21	des	DET	21	det
22	paiements	NOUN	19	obj
23	pour	ADP	24	case
24	son	DET	24	det
25	travail	NOUN	19	obl:mod
26	sur	ADP	28	case
27	le	DET	28	det
28	nouvel	ADJ	28	amod
29	édifice	NOUN	24	nmod
30	.	PUNCT	3	punct