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:
La puissance naturellement dégagée par la rivière est ici transformée en énergie par le biais d'un barrage hydro-électrique qui fournit de l'énergie pour la région avoisinante.
Postion	Tokenization
1	La
2	puissance
3	naturellement
4	dégagée
5	par
6	la
7	rivière
8	est
9	ici
10	transformée
11	en
12	énergie
13	par
14	le
15	biais
16	d'
17	un
18	barrage
19	hydro-électrique
20	qui
21	fournit
22	de
23	l'
24	énergie
25	pour
26	la
27	région
28	avoisinante
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	puissance	NOUN	10	nsubj
3	naturellement	ADV	4	advmod
4	dégagée	VERB	2	acl
5	par	ADP	7	case
6	la	DET	7	det
7	rivière	NOUN	4	obl:agent
8	est	AUX	10	aux:pass
9	ici	ADV	10	advmod
10	transformée	VERB	0	root
11	en	ADP	12	case
12	énergie	NOUN	10	obl:mod
13	par	ADP	15	case
14	le	DET	15	det
15	biais	NOUN	10	obl:arg
16	d'	ADP	18	case
17	un	DET	18	det
18	barrage	NOUN	15	nmod
19	hydro-électrique	ADJ	18	amod
20	qui	PRON	21	nsubj
21	fournit	VERB	18	acl:relcl
22	de	ADP	24	det
23	l'	DET	22	fixed
24	énergie	NOUN	21	obj
25	pour	ADP	27	case
26	la	DET	27	det
27	région	NOUN	21	obl:mod
28	avoisinante	ADJ	27	amod
29	.	PUNCT	10	punct