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 y visita notamment la bibliothèque du duc d'Urbino à Pesaro, où il put achever son travail grâce à Bobaljević Marin, son principal bienfaiteur.
Postion	Tokenization
1	Il
2	y
3	visita
4	notamment
5	la
6	bibliothèque
7	du
8	de
9	le
10	duc
11	d'
12	Urbino
13	à
14	Pesaro
15	,
16	où
17	il
18	put
19	achever
20	son
21	travail
22	grâce
23	à
24	Bobaljević
25	Marin
26	,
27	son
28	principal
29	bienfaiteur
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	y	PRON	3	obl:mod
3	visita	VERB	0	root
4	notamment	ADV	3	advmod
5	la	DET	6	det
6	bibliothèque	NOUN	3	obj
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	duc	NOUN	6	nmod
11	d'	ADP	11	case
12	Urbino	PROPN	9	nmod
13	à	ADP	13	case
14	Pesaro	PROPN	6	nmod
15	,	PUNCT	17	punct
16	où	ADV	18	advmod
17	il	PRON	17	nsubj
18	put	VERB	6	acl:relcl
19	achever	VERB	17	xcomp:obj
20	son	DET	20	det
21	travail	NOUN	18	obj
22	grâce	NOUN	23	case
23	à	ADP	21	fixed
24	Bobaljević	PROPN	18	obl:mod
25	Marin	PROPN	23	flat:name
26	,	PUNCT	28	punct
27	son	DET	28	det
28	principal	ADJ	28	amod
29	bienfaiteur	NOUN	23	appos
30	.	PUNCT	3	punct