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 chargé de cours à l'université de Nice Sophia-Antipolis et préside l'INSO (Institut néo-socratique).
Postion	Tokenization
1	Il
2	est
3	chargé
4	de
5	cours
6	à
7	l'
8	université
9	de
10	Nice
11	Sophia-Antipolis
12	et
13	préside
14	l'
15	INSO
16	(
17	Institut
18	néo-socratique
19	)
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	est	VERB	0	root
3	chargé	VERB	2	xcomp:pred
4	de	ADP	3	fixed
5	cours	NOUN	3	fixed
6	à	ADP	8	case
7	l'	DET	8	det
8	université	NOUN	3	nmod
9	de	ADP	10	case
10	Nice	PROPN	8	nmod
11	Sophia-Antipolis	PROPN	8	appos
12	et	CCONJ	13	cc
13	préside	VERB	2	conj
14	l'	DET	15	det
15	INSO	PROPN	13	obj
16	(	PUNCT	17	punct
17	Institut	NOUN	15	appos
18	néo-socratique	ADJ	17	amod
19	)	PUNCT	17	punct
20	.	PUNCT	2	punct