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 loi des aires s'applique également aux avions moins rapides, pour une raison similaire, une répartition longitudinale plus favorable du champ de pression, notamment sur la voilure.
Postion	Tokenization
1	La
2	loi
3	des
4	de
5	les
6	aires
7	s'
8	applique
9	également
10	aux
11	à
12	les
13	avions
14	moins
15	rapides
16	,
17	pour
18	une
19	raison
20	similaire
21	,
22	une
23	répartition
24	longitudinale
25	plus
26	favorable
27	du
28	de
29	le
30	champ
31	de
32	pression
33	,
34	notamment
35	sur
36	la
37	voilure
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	loi	NOUN	7	nsubj:pass
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	aires	NOUN	2	nmod
7	s'	PRON	7	expl:pass
8	applique	VERB	0	root
9	également	ADV	7	advmod
10	aux	_	None	_
11	à	ADP	11	case
12	les	DET	11	det
13	avions	NOUN	7	obl:arg
14	moins	ADV	13	advmod
15	rapides	ADJ	11	amod
16	,	PUNCT	17	punct
17	pour	ADP	17	case
18	une	DET	17	det
19	raison	NOUN	7	obl:mod
20	similaire	ADJ	17	amod
21	,	PUNCT	21	punct
22	une	DET	21	det
23	répartition	NOUN	17	appos
24	longitudinale	ADJ	21	amod
25	plus	ADV	24	advmod
26	favorable	ADJ	21	amod
27	du	_	None	_
28	de	ADP	27	case
29	le	DET	27	det
30	champ	NOUN	21	nmod
31	de	ADP	29	case
32	pression	NOUN	27	nmod
33	,	PUNCT	34	punct
34	notamment	ADV	34	advmod
35	sur	ADP	34	case
36	la	DET	34	det
37	voilure	NOUN	21	nmod
38	.	PUNCT	7	punct