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:
Jean-Yves Le Gall est diplômé de l'École supérieure d'optique (1981) et il détient un doctorat de l'Université Paris-Sud (1983).
Postion	Tokenization
1	Jean-Yves
2	Le
3	Gall
4	est
5	diplômé
6	de
7	l'
8	École
9	supérieure
10	d'
11	optique
12	(
13	1981
14	)
15	et
16	il
17	détient
18	un
19	doctorat
20	de
21	l'
22	Université
23	Paris-Sud
24	(
25	1983
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jean-Yves	PROPN	5	nsubj
2	Le	DET	3	det
3	Gall	PROPN	1	appos
4	est	AUX	5	cop
5	diplômé	NOUN	0	root
6	de	ADP	8	case
7	l'	DET	8	det
8	École	NOUN	5	nmod
9	supérieure	ADJ	8	amod
10	d'	ADP	11	case
11	optique	NOUN	8	nmod
12	(	PUNCT	13	punct
13	1981	NUM	5	nmod
14	)	PUNCT	13	punct
15	et	CCONJ	17	cc
16	il	PRON	17	nsubj
17	détient	VERB	5	conj
18	un	DET	19	det
19	doctorat	NOUN	17	obj
20	de	ADP	22	case
21	l'	DET	22	det
22	Université	NOUN	19	nmod
23	Paris-Sud	PROPN	22	appos
24	(	PUNCT	25	punct
25	1983	NUM	19	nmod
26	)	PUNCT	25	punct
27	.	PUNCT	5	punct