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:
Elle fondera en 2002 la société "Geneviève Paris Studios" qui crée des interfaces, des sites Web et des applications interactives, en se tenant à l'affût des technologies de pointe.
Postion	Tokenization
1	Elle
2	fondera
3	en
4	2002
5	la
6	société
7	"
8	Geneviève
9	Paris
10	Studios
11	"
12	qui
13	crée
14	des
15	interfaces
16	,
17	des
18	sites
19	Web
20	et
21	des
22	applications
23	interactives
24	,
25	en
26	se
27	tenant
28	à
29	l'
30	affût
31	des
32	de
33	les
34	technologies
35	de
36	pointe
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	fondera	VERB	0	root
3	en	ADP	4	case
4	2002	NUM	2	obl:mod
5	la	DET	6	det
6	société	NOUN	2	obj
7	"	PUNCT	8	punct
8	Geneviève	PROPN	6	appos
9	Paris	PROPN	8	flat:name
10	Studios	PROPN	9	flat:name
11	"	PUNCT	8	punct
12	qui	PRON	13	nsubj
13	crée	VERB	6	acl:relcl
14	des	DET	15	det
15	interfaces	NOUN	13	obj
16	,	PUNCT	18	punct
17	des	DET	18	det
18	sites	NOUN	15	conj
19	Web	NOUN	18	nmod
20	et	CCONJ	22	cc
21	des	DET	22	det
22	applications	NOUN	15	conj
23	interactives	ADJ	22	amod
24	,	PUNCT	27	punct
25	en	ADP	27	mark
26	se	PRON	27	dep:comp
27	tenant	VERB	13	advcl
28	à	ADP	30	case
29	l'	DET	30	det
30	affût	NOUN	27	obl:arg
31	des	_	None	_
32	de	ADP	33	case
33	les	DET	33	det
34	technologies	NOUN	30	nmod
35	de	ADP	35	case
36	pointe	NOUN	33	nmod
37	.	PUNCT	2	punct