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:
Ses vice-présidents élus sont Gilles d'Ambrières, le professeur Jean Mesnard, membre de l'Institut, et le professeur Jean-Robert Pitte, président de l'Université Paris Sorbonne-Paris IV.
Postion	Tokenization
1	Ses
2	vice-présidents
3	élus
4	sont
5	Gilles
6	d'
7	Ambrières
8	,
9	le
10	professeur
11	Jean
12	Mesnard
13	,
14	membre
15	de
16	l'
17	Institut
18	,
19	et
20	le
21	professeur
22	Jean-Robert
23	Pitte
24	,
25	président
26	de
27	l'
28	Université
29	Paris
30	Sorbonne-Paris
31	IV
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	vice-présidents	NOUN	5	nsubj
3	élus	VERB	2	acl
4	sont	AUX	5	cop
5	Gilles	PROPN	0	root
6	d'	PROPN	5	flat:name
7	Ambrières	PROPN	6	flat:name
8	,	PUNCT	10	punct
9	le	DET	10	det
10	professeur	NOUN	5	conj
11	Jean	PROPN	10	appos
12	Mesnard	PROPN	11	flat:name
13	,	PUNCT	14	punct
14	membre	NOUN	10	appos
15	de	ADP	17	case
16	l'	DET	17	det
17	Institut	NOUN	14	nmod
18	,	PUNCT	21	punct
19	et	CCONJ	21	cc
20	le	DET	21	det
21	professeur	NOUN	5	conj
22	Jean-Robert	PROPN	21	appos
23	Pitte	PROPN	22	flat:name
24	,	PUNCT	25	punct
25	président	NOUN	21	appos
26	de	ADP	28	case
27	l'	DET	28	det
28	Université	NOUN	25	nmod
29	Paris	PROPN	28	appos
30	Sorbonne-Paris	PROPN	29	flat:name
31	IV	NUM	29	nmod
32	.	PUNCT	5	punct