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:
Un algorithme dynamique vise à obtenir de meilleurs résultats en effectuant continuellement des mesures du taux d'occupation de chaque processeur.
Postion	Tokenization
1	Un
2	algorithme
3	dynamique
4	vise
5	à
6	obtenir
7	de
8	meilleurs
9	résultats
10	en
11	effectuant
12	continuellement
13	des
14	mesures
15	du
16	de
17	le
18	taux
19	d'
20	occupation
21	de
22	chaque
23	processeur
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	algorithme	NOUN	4	nsubj
3	dynamique	ADJ	2	amod
4	vise	VERB	0	root
5	à	ADP	6	mark
6	obtenir	VERB	4	xcomp:obl
7	de	DET	9	det
8	meilleurs	ADJ	9	amod
9	résultats	NOUN	6	obj
10	en	ADP	11	mark
11	effectuant	VERB	4	advcl
12	continuellement	ADV	11	advmod
13	des	DET	14	det
14	mesures	NOUN	11	obj
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	taux	NOUN	14	nmod
19	d'	ADP	19	case
20	occupation	NOUN	17	nmod
21	de	ADP	22	case
22	chaque	DET	22	det
23	processeur	NOUN	17	nmod
24	.	PUNCT	4	punct