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 direction des fibres est donc la direction de plus grande diffusivité, indiquée par le vecteur propre associé à la plus grande valeur propre du tenseur de diffusion.
Postion	Tokenization
1	La
2	direction
3	des
4	de
5	les
6	fibres
7	est
8	donc
9	la
10	direction
11	de
12	plus
13	grande
14	diffusivité
15	,
16	indiquée
17	par
18	le
19	vecteur
20	propre
21	associé
22	à
23	la
24	plus
25	grande
26	valeur
27	propre
28	du
29	de
30	le
31	tenseur
32	de
33	diffusion
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	direction	NOUN	9	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	fibres	NOUN	2	nmod
7	est	AUX	9	cop
8	donc	ADV	9	advmod
9	la	DET	9	det
10	direction	NOUN	0	root
11	de	ADP	13	case
12	plus	ADV	12	advmod
13	grande	ADJ	13	amod
14	diffusivité	NOUN	9	nmod
15	,	PUNCT	15	punct
16	indiquée	VERB	9	acl
17	par	ADP	18	case
18	le	DET	18	det
19	vecteur	NOUN	15	obl:agent
20	propre	ADJ	18	amod
21	associé	VERB	18	acl
22	à	ADP	25	case
23	la	DET	25	det
24	plus	ADV	24	advmod
25	grande	ADJ	25	amod
26	valeur	NOUN	20	obl:arg
27	propre	ADJ	25	amod
28	du	_	None	_
29	de	ADP	29	case
30	le	DET	29	det
31	tenseur	NOUN	25	nmod
32	de	ADP	31	case
33	diffusion	NOUN	29	nmod
34	.	PUNCT	9	punct