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:
2008 aura été marquée par une forte croissance, 6,5% du PIB, et de grands projets énergétiques comme le gazoduc South Stream et la centrale nucléaire Belene.
Postion	Tokenization
1	2008
2	aura
3	été
4	marquée
5	par
6	une
7	forte
8	croissance
9	,
10	6,5
11	%
12	du
13	de
14	le
15	PIB
16	,
17	et
18	de
19	grands
20	projets
21	énergétiques
22	comme
23	le
24	gazoduc
25	South
26	Stream
27	et
28	la
29	centrale
30	nucléaire
31	Belene
32	.
Position	Tokenization	UPOS	Head	Deprel
1	2008	NUM	4	nsubj:pass
2	aura	AUX	4	aux:tense
3	été	AUX	4	aux:pass
4	marquée	VERB	0	root
5	par	ADP	8	case
6	une	DET	8	det
7	forte	ADJ	8	amod
8	croissance	NOUN	4	obl:agent
9	,	PUNCT	11	punct
10	6,5	NUM	11	nummod
11	%	SYM	8	appos
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	PIB	NOUN	11	nmod
16	,	PUNCT	11	punct
17	et	CCONJ	19	cc
18	de	DET	19	det
19	grands	ADJ	19	amod
20	projets	NOUN	8	conj
21	énergétiques	ADJ	19	amod
22	comme	ADP	23	case
23	le	DET	23	det
24	gazoduc	NOUN	19	nmod
25	South	PROPN	23	appos
26	Stream	PROPN	24	flat:name
27	et	CCONJ	28	cc
28	la	DET	28	det
29	centrale	NOUN	23	conj
30	nucléaire	ADJ	28	amod
31	Belene	PROPN	28	appos
32	.	PUNCT	4	punct