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:
Une mesure de la solution courante dans le Blackboard, appelée température, permet de modifier le comportement du système afin de l'adapter à la situation.
Postion	Tokenization
1	Une
2	mesure
3	de
4	la
5	solution
6	courante
7	dans
8	le
9	Blackboard
10	,
11	appelée
12	température
13	,
14	permet
15	de
16	modifier
17	le
18	comportement
19	du
20	de
21	le
22	système
23	afin
24	de
25	l'
26	adapter
27	à
28	la
29	situation
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	mesure	NOUN	14	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	solution	NOUN	2	nmod
6	courante	ADJ	5	amod
7	dans	ADP	9	case
8	le	DET	9	det
9	Blackboard	PROPN	2	nmod
10	,	PUNCT	11	punct
11	appelée	VERB	2	acl
12	température	NOUN	11	xcomp:pred
13	,	PUNCT	11	punct
14	permet	VERB	0	root
15	de	ADP	16	mark
16	modifier	VERB	14	xcomp:obj
17	le	DET	18	det
18	comportement	NOUN	16	obj
19	du	_	None	_
20	de	ADP	21	case
21	le	DET	21	det
22	système	NOUN	18	nmod
23	afin	ADV	16	advmod
24	de	ADP	25	mark
25	l'	PRON	25	obj
26	adapter	VERB	22	ccomp:obj
27	à	ADP	28	case
28	la	DET	28	det
29	situation	NOUN	25	obl:arg
30	.	PUNCT	14	punct