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:
En nous livrant les clefs de l'histoire de ce projet industriel, il nous invite à tirer les leçons du passé pour mieux appréhender les perspectives énergétiques du Maghreb aujourd'hui.
Postion	Tokenization
1	En
2	nous
3	livrant
4	les
5	clefs
6	de
7	l'
8	histoire
9	de
10	ce
11	projet
12	industriel
13	,
14	il
15	nous
16	invite
17	à
18	tirer
19	les
20	leçons
21	du
22	de
23	le
24	passé
25	pour
26	mieux
27	appréhender
28	les
29	perspectives
30	énergétiques
31	du
32	de
33	le
34	Maghreb
35	aujourd'hui
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	mark
2	nous	PRON	3	obl:arg
3	livrant	VERB	16	advcl
4	les	DET	5	det
5	clefs	NOUN	3	obj
6	de	ADP	8	case
7	l'	DET	8	det
8	histoire	NOUN	5	nmod
9	de	ADP	11	case
10	ce	DET	11	det
11	projet	NOUN	8	nmod
12	industriel	ADJ	11	amod
13	,	PUNCT	3	punct
14	il	PRON	16	nsubj
15	nous	PRON	16	obj
16	invite	VERB	0	root
17	à	ADP	18	mark
18	tirer	VERB	16	xcomp:obl
19	les	DET	20	det
20	leçons	NOUN	18	obj
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	passé	NOUN	20	nmod
25	pour	ADP	26	mark
26	mieux	ADV	26	advmod
27	appréhender	VERB	18	advcl
28	les	DET	28	det
29	perspectives	NOUN	26	obj
30	énergétiques	ADJ	28	amod
31	du	_	None	_
32	de	ADP	32	case
33	le	DET	32	det
34	Maghreb	PROPN	28	nmod
35	aujourd'hui	ADV	26	advmod
36	.	PUNCT	16	punct