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 fut également président de la SEM Volcans, société gérant le parc de loisirs Vulcania, et co-président du Comité du Massif Central.
Postion	Tokenization
1	Il
2	fut
3	également
4	président
5	de
6	la
7	SEM
8	Volcans
9	,
10	société
11	gérant
12	le
13	parc
14	de
15	loisirs
16	Vulcania
17	,
18	et
19	co-président
20	du
21	de
22	le
23	Comité
24	du
25	de
26	le
27	Massif
28	Central
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	fut	AUX	4	cop
3	également	ADV	4	advmod
4	président	NOUN	0	root
5	de	ADP	8	case
6	la	DET	8	det
7	SEM	X	8	nmod
8	Volcans	PROPN	4	nmod
9	,	PUNCT	10	punct
10	société	NOUN	8	appos
11	gérant	VERB	10	acl
12	le	DET	13	det
13	parc	NOUN	11	obj
14	de	ADP	15	case
15	loisirs	NOUN	13	nmod
16	Vulcania	PROPN	13	appos
17	,	PUNCT	19	punct
18	et	CCONJ	19	cc
19	co-président	NOUN	4	conj
20	du	_	None	_
21	de	ADP	22	case
22	le	DET	22	det
23	Comité	NOUN	19	nmod
24	du	_	None	_
25	de	ADP	25	case
26	le	DET	25	det
27	Massif	NOUN	22	nmod
28	Central	ADJ	25	amod
29	.	PUNCT	4	punct