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 a continué ses études à l'École nationale supérieure agronomique de Rennes en tant que boursier du gouvernement français (1995-1996).
Postion	Tokenization
1	Il
2	a
3	continué
4	ses
5	études
6	à
7	l'
8	École
9	nationale
10	supérieure
11	agronomique
12	de
13	Rennes
14	en
15	tant
16	que
17	boursier
18	du
19	de
20	le
21	gouvernement
22	français
23	(
24	1995-1996
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	continué	VERB	0	root
4	ses	DET	5	det
5	études	NOUN	3	obj
6	à	ADP	8	case
7	l'	DET	8	det
8	École	NOUN	3	obl:mod
9	nationale	ADJ	8	amod
10	supérieure	ADJ	8	amod
11	agronomique	ADJ	8	amod
12	de	ADP	13	case
13	Rennes	PROPN	8	nmod
14	en	ADP	17	case
15	tant	ADV	14	fixed
16	que	SCONJ	14	fixed
17	boursier	NOUN	3	obl:mod
18	du	_	None	_
19	de	ADP	20	case
20	le	DET	20	det
21	gouvernement	NOUN	17	nmod
22	français	ADJ	20	amod
23	(	PUNCT	23	punct
24	1995-1996	NUM	3	obl:mod
25	)	PUNCT	23	punct
26	.	PUNCT	3	punct