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:
Agissant à titre de conseillère sur l'éducation française, Gisèle Lalonde donnait son avis au premier ministre de l'Ontario sur les besoins de la communauté française.
Postion	Tokenization
1	Agissant
2	à
3	titre
4	de
5	conseillère
6	sur
7	l'
8	éducation
9	française
10	,
11	Gisèle
12	Lalonde
13	donnait
14	son
15	avis
16	au
17	à
18	le
19	premier
20	ministre
21	de
22	l'
23	Ontario
24	sur
25	les
26	besoins
27	de
28	la
29	communauté
30	française
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Agissant	VERB	13	advcl
2	à	ADP	1	advmod
3	titre	NOUN	2	fixed
4	de	ADP	5	case
5	conseillère	NOUN	2	obl:arg
6	sur	ADP	8	case
7	l'	DET	8	det
8	éducation	NOUN	5	nmod
9	française	ADJ	8	amod
10	,	PUNCT	1	punct
11	Gisèle	PROPN	13	nsubj
12	Lalonde	PROPN	11	flat:name
13	donnait	VERB	0	root
14	son	DET	15	det
15	avis	NOUN	13	obj
16	au	_	None	_
17	à	ADP	19	case
18	le	DET	19	det
19	premier	ADJ	19	amod
20	ministre	NOUN	15	nmod
21	de	ADP	22	case
22	l'	DET	22	det
23	Ontario	PROPN	19	nmod
24	sur	ADP	25	case
25	les	DET	25	det
26	besoins	NOUN	15	nmod
27	de	ADP	28	case
28	la	DET	28	det
29	communauté	NOUN	25	nmod
30	française	ADJ	28	amod
31	.	PUNCT	13	punct