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:
La façon la plus évidente d'ajouter une notion de localisation spatiale dans un ensemble de données, est d'ajouter des attributs de position pour chacun des objets.
Postion	Tokenization
1	La
2	façon
3	la
4	plus
5	évidente
6	d'
7	ajouter
8	une
9	notion
10	de
11	localisation
12	spatiale
13	dans
14	un
15	ensemble
16	de
17	données
18	,
19	est
20	d'
21	ajouter
22	des
23	attributs
24	de
25	position
26	pour
27	chacun
28	des
29	de
30	les
31	objets
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	façon	NOUN	19	nsubj
3	la	DET	5	advmod
4	plus	ADV	3	fixed
5	évidente	ADJ	2	amod
6	d'	ADP	7	mark
7	ajouter	VERB	2	acl
8	une	DET	9	det
9	notion	NOUN	7	obj
10	de	ADP	11	case
11	localisation	NOUN	9	nmod
12	spatiale	ADJ	11	amod
13	dans	ADP	15	case
14	un	DET	15	det
15	ensemble	NOUN	7	obl:mod
16	de	ADP	17	case
17	données	NOUN	15	nmod
18	,	PUNCT	2	punct
19	est	VERB	0	root
20	d'	ADP	21	mark
21	ajouter	VERB	19	ccomp:pred
22	des	DET	23	det
23	attributs	NOUN	21	obj
24	de	ADP	25	case
25	position	NOUN	23	nmod
26	pour	ADP	27	case
27	chacun	PRON	21	obl:mod
28	des	_	None	_
29	de	ADP	30	case
30	les	DET	30	det
31	objets	NOUN	27	nmod
32	.	PUNCT	19	punct