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 situé sur la rue Yonge (la rue principale de Toronto), mais aussi sur Sheppard Avenue où beaucoup de constructions sont apparues.
Postion	Tokenization
1	Il
2	est
3	situé
4	sur
5	la
6	rue
7	Yonge
8	(
9	la
10	rue
11	principale
12	de
13	Toronto
14	)
15	,
16	mais
17	aussi
18	sur
19	Sheppard
20	Avenue
21	où
22	beaucoup
23	de
24	constructions
25	sont
26	apparues
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	est	AUX	3	aux:tense
3	situé	VERB	0	root
4	sur	ADP	6	case
5	la	DET	6	det
6	rue	NOUN	3	obl:mod
7	Yonge	PROPN	6	appos
8	(	PUNCT	10	punct
9	la	DET	10	det
10	rue	NOUN	6	appos
11	principale	ADJ	10	amod
12	de	ADP	13	case
13	Toronto	PROPN	10	nmod
14	)	PUNCT	10	punct
15	,	PUNCT	19	punct
16	mais	CCONJ	19	cc
17	aussi	ADV	19	advmod
18	sur	ADP	19	case
19	Sheppard	PROPN	6	conj
20	Avenue	PROPN	19	flat:name
21	où	ADV	26	advmod
22	beaucoup	ADV	26	nsubj
23	de	ADP	24	case
24	constructions	NOUN	22	dep:comp
25	sont	AUX	26	aux:tense
26	apparues	VERB	19	acl:relcl
27	.	PUNCT	3	punct