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:
Si Google Earth permet aux internautes de se divertir en naviguant virtuellement sur la surface du globe, l'application peut également se rendre utile pour la science.
Postion	Tokenization
1	Si
2	Google
3	Earth
4	permet
5	aux
6	à
7	les
8	internautes
9	de
10	se
11	divertir
12	en
13	naviguant
14	virtuellement
15	sur
16	la
17	surface
18	du
19	de
20	le
21	globe
22	,
23	l'
24	application
25	peut
26	également
27	se
28	rendre
29	utile
30	pour
31	la
32	science
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	4	mark
2	Google	PROPN	4	nsubj
3	Earth	PROPN	2	flat:name
4	permet	VERB	23	advcl
5	aux	_	None	_
6	à	ADP	7	case
7	les	DET	7	det
8	internautes	NOUN	4	obl:arg
9	de	ADP	10	mark
10	se	PRON	10	obj
11	divertir	VERB	4	xcomp:obj
12	en	ADP	12	mark
13	naviguant	VERB	10	advcl
14	virtuellement	ADV	12	advmod
15	sur	ADP	16	case
16	la	DET	16	det
17	surface	NOUN	12	obl:mod
18	du	_	None	_
19	de	ADP	19	case
20	le	DET	19	det
21	globe	NOUN	16	nmod
22	,	PUNCT	4	punct
23	l'	DET	22	det
24	application	NOUN	23	nsubj
25	peut	VERB	0	root
26	également	ADV	23	advmod
27	se	PRON	26	obj
28	rendre	VERB	23	xcomp:obj
29	utile	ADJ	26	xcomp:pred
30	pour	ADP	30	case
31	la	DET	30	det
32	science	NOUN	26	obl:mod
33	.	PUNCT	23	punct