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:
À cette occasion on fit appel aux meilleurs architectes, sculpteurs et peintres, dont Simon de Cologne, Gil de Siloé et Pedro Berruguete.
Postion	Tokenization
1	À
2	cette
3	occasion
4	on
5	fit
6	appel
7	aux
8	à
9	les
10	meilleurs
11	architectes
12	,
13	sculpteurs
14	et
15	peintres
16	,
17	dont
18	Simon
19	de
20	Cologne
21	,
22	Gil
23	de
24	Siloé
25	et
26	Pedro
27	Berruguete
28	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	3	case
2	cette	DET	3	det
3	occasion	NOUN	5	obl:mod
4	on	PRON	5	nsubj
5	fit	VERB	0	root
6	appel	NOUN	5	obj:lvc
7	aux	_	None	_
8	à	ADP	10	case
9	les	DET	10	det
10	meilleurs	ADJ	10	amod
11	architectes	NOUN	6	dep:comp
12	,	PUNCT	12	punct
13	sculpteurs	NOUN	10	conj
14	et	CCONJ	14	cc
15	peintres	NOUN	10	conj
16	,	PUNCT	17	punct
17	dont	PRON	17	nmod
18	Simon	PROPN	10	acl:relcl
19	de	ADP	17	flat:name
20	Cologne	PROPN	18	flat:name
21	,	PUNCT	21	punct
22	Gil	PROPN	17	conj
23	de	ADP	21	flat:name
24	Siloé	PROPN	22	flat:name
25	et	CCONJ	25	cc
26	Pedro	PROPN	17	conj
27	Berruguete	PROPN	25	flat:name
28	.	PUNCT	5	punct