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:
Les revenus militaires de CAE se sont établis à 201,5 millions de dollars au deuxième trimestre de l'exercice 2011-2012, soit une diminution de 3% par rapport au même trimestre de l'exercice précédent.
Postion	Tokenization
1	Les
2	revenus
3	militaires
4	de
5	CAE
6	se
7	sont
8	établis
9	à
10	201,5
11	millions
12	de
13	dollars
14	au
15	à
16	le
17	deuxième
18	trimestre
19	de
20	l'
21	exercice
22	2011-2012
23	,
24	soit
25	une
26	diminution
27	de
28	3
29	%
30	par
31	rapport
32	au
33	à
34	le
35	même
36	trimestre
37	de
38	l'
39	exercice
40	précédent
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	revenus	NOUN	8	nsubj
3	militaires	ADJ	2	amod
4	de	ADP	5	case
5	CAE	PROPN	2	nmod
6	se	PRON	8	expl:pass
7	sont	AUX	8	aux:tense
8	établis	VERB	0	root
9	à	ADP	11	case
10	201,5	NUM	11	nummod
11	millions	NOUN	8	obl:arg
12	de	ADP	13	case
13	dollars	NOUN	11	nmod
14	au	_	None	_
15	à	ADP	17	case
16	le	DET	17	det
17	deuxième	ADJ	17	amod
18	trimestre	NOUN	8	obl:mod
19	de	ADP	20	case
20	l'	DET	20	det
21	exercice	NOUN	17	nmod
22	2011-2012	NUM	20	nmod
23	,	PUNCT	25	punct
24	soit	ADV	25	advmod
25	une	DET	25	det
26	diminution	NOUN	11	appos
27	de	ADP	28	case
28	3	NUM	28	nummod
29	%	SYM	25	nmod
30	par	ADP	30	case
31	rapport	NOUN	25	nmod
32	au	_	None	_
33	à	ADP	34	case
34	le	DET	34	det
35	même	ADJ	34	amod
36	trimestre	NOUN	30	nmod
37	de	ADP	37	case
38	l'	DET	37	det
39	exercice	NOUN	34	nmod
40	précédent	ADJ	37	amod
41	.	PUNCT	8	punct