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:
Grâce à lui, la structure des terres fictives de la géopolitique a pris de l'ampleur et une importance notable au sein de l'organisation.
Postion	Tokenization
1	Grâce
2	à
3	lui
4	,
5	la
6	structure
7	des
8	de
9	les
10	terres
11	fictives
12	de
13	la
14	géopolitique
15	a
16	pris
17	de
18	l'
19	ampleur
20	et
21	une
22	importance
23	notable
24	au
25	à
26	le
27	sein
28	de
29	l'
30	organisation
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Grâce	NOUN	3	case
2	à	ADP	1	fixed
3	lui	PRON	15	obl:mod
4	,	PUNCT	3	punct
5	la	DET	6	det
6	structure	NOUN	15	nsubj
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	terres	NOUN	6	nmod
11	fictives	ADJ	9	amod
12	de	ADP	13	case
13	la	DET	13	det
14	géopolitique	NOUN	9	nmod
15	a	AUX	15	aux:tense
16	pris	VERB	0	root
17	de	ADP	18	det
18	l'	DET	16	fixed
19	ampleur	NOUN	15	obj
20	et	CCONJ	21	cc
21	une	DET	21	det
22	importance	NOUN	18	conj
23	notable	ADJ	21	amod
24	au	_	None	_
25	à	ADP	25	case
26	le	DET	25	det
27	sein	NOUN	15	obl:mod
28	de	ADP	28	case
29	l'	DET	28	det
30	organisation	NOUN	25	nmod
31	.	PUNCT	15	punct