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:
APEX (acronyme de « Additive system of Photography EXposure ») est une méthode de calcul du temps d'exposition basée sur une mesure en Ev (Exposure value) adoptée par la plupart des posemètres.
Postion	Tokenization
1	APEX
2	(
3	acronyme
4	de
5	«
6	Additive
7	system
8	of
9	Photography
10	EXposure
11	»
12	)
13	est
14	une
15	méthode
16	de
17	calcul
18	du
19	de
20	le
21	temps
22	d'
23	exposition
24	basée
25	sur
26	une
27	mesure
28	en
29	Ev
30	(
31	Exposure
32	value
33	)
34	adoptée
35	par
36	la
37	plupart
38	des
39	de
40	les
41	posemètres
42	.
Position	Tokenization	UPOS	Head	Deprel
1	APEX	PROPN	15	nsubj
2	(	PUNCT	3	punct
3	acronyme	NOUN	1	appos
4	de	ADP	6	case
5	«	PUNCT	6	punct
6	Additive	X	3	nmod
7	system	X	6	flat:foreign
8	of	X	7	flat:foreign
9	Photography	X	8	flat:foreign
10	EXposure	X	9	flat:foreign
11	»	PUNCT	6	punct
12	)	PUNCT	3	punct
13	est	AUX	15	cop
14	une	DET	15	det
15	méthode	NOUN	0	root
16	de	ADP	17	case
17	calcul	NOUN	15	nmod
18	du	_	None	_
19	de	ADP	20	case
20	le	DET	20	det
21	temps	NOUN	17	nmod
22	d'	ADP	22	case
23	exposition	NOUN	20	nmod
24	basée	VERB	15	acl
25	sur	ADP	26	case
26	une	DET	26	det
27	mesure	NOUN	23	obl:mod
28	en	ADP	28	case
29	Ev	X	26	nmod
30	(	PUNCT	30	punct
31	Exposure	X	28	appos
32	value	X	30	flat:foreign
33	)	PUNCT	30	punct
34	adoptée	VERB	26	acl
35	par	ADP	36	case
36	la	DET	36	det
37	plupart	NOUN	33	obl:agent
38	des	_	None	_
39	de	ADP	39	case
40	les	DET	39	det
41	posemètres	NOUN	36	nmod
42	.	PUNCT	15	punct