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:
L'ONG a fait ses propres calculs : selon elle, vers 2020, l'énergie nécessaire pour faire fonctionner Facebook sera d'un peu moins de deux milliards de kilowatts heure par an.
Postion	Tokenization
1	L'
2	ONG
3	a
4	fait
5	ses
6	propres
7	calculs
8	:
9	selon
10	elle
11	,
12	vers
13	2020
14	,
15	l'
16	énergie
17	nécessaire
18	pour
19	faire
20	fonctionner
21	Facebook
22	sera
23	d'
24	un
25	peu
26	moins
27	de
28	deux
29	milliards
30	de
31	kilowatts
32	heure
33	par
34	an
35	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	ONG	NOUN	4	nsubj
3	a	AUX	4	aux:tense
4	fait	VERB	0	root
5	ses	DET	7	det
6	propres	ADJ	7	amod
7	calculs	NOUN	4	obj
8	:	PUNCT	26	punct
9	selon	ADP	10	case
10	elle	PRON	26	obl:mod
11	,	PUNCT	10	punct
12	vers	ADP	13	case
13	2020	NUM	26	obl:mod
14	,	PUNCT	13	punct
15	l'	DET	16	det
16	énergie	NOUN	26	nsubj
17	nécessaire	ADJ	16	amod
18	pour	ADP	20	mark
19	faire	AUX	20	aux:caus
20	fonctionner	VERB	16	acl
21	Facebook	PROPN	20	obj:agent
22	sera	AUX	26	cop
23	d'	ADP	26	case
24	un	DET	26	advmod
25	peu	ADV	24	fixed
26	moins	ADV	4	parataxis
27	de	ADP	29	case
28	deux	NUM	29	nummod
29	milliards	NOUN	26	dep:comp
30	de	ADP	31	case
31	kilowatts	NOUN	29	nmod
32	heure	NOUN	31	nmod
33	par	ADP	34	case
34	an	NOUN	29	nmod
35	.	PUNCT	4	punct