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:
Air France-KLM a révisé à la hausse son objectif de résultat d'exploitation courant compte tenu des performances de recettes constatées au cours des mois précédents et des engagements actuels.
Postion	Tokenization
1	Air
2	France-KLM
3	a
4	révisé
5	à
6	la
7	hausse
8	son
9	objectif
10	de
11	résultat
12	d'
13	exploitation
14	courant
15	compte
16	tenu
17	des
18	de
19	les
20	performances
21	de
22	recettes
23	constatées
24	au
25	à
26	le
27	cours
28	des
29	de
30	les
31	mois
32	précédents
33	et
34	des
35	de
36	les
37	engagements
38	actuels
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Air	PROPN	4	nsubj
2	France-KLM	PROPN	1	flat:name
3	a	AUX	4	aux:tense
4	révisé	VERB	0	root
5	à	ADP	7	case
6	la	DET	7	det
7	hausse	NOUN	4	obl:mod
8	son	DET	9	det
9	objectif	NOUN	4	obj
10	de	ADP	11	case
11	résultat	NOUN	9	nmod
12	d'	ADP	13	case
13	exploitation	NOUN	11	nmod
14	courant	ADJ	11	amod
15	compte	NOUN	4	advmod
16	tenu	VERB	15	fixed
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	performances	NOUN	15	obl:arg
21	de	ADP	21	case
22	recettes	NOUN	19	nmod
23	constatées	VERB	19	acl
24	au	_	None	_
25	à	ADP	25	case
26	le	DET	25	det
27	cours	NOUN	22	obl:mod
28	des	_	None	_
29	de	ADP	28	case
30	les	DET	28	det
31	mois	NOUN	25	nmod
32	précédents	ADJ	28	amod
33	et	CCONJ	33	cc
34	des	_	None	_
35	de	ADP	33	case
36	les	DET	33	det
37	engagements	NOUN	19	conj
38	actuels	ADJ	33	amod
39	.	PUNCT	4	punct