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 construction de ce barrage a eu un impact à long terme non seulement sur le biotope de la grotte, mais également sur l'exploration de la grotte.
Postion	Tokenization
1	La
2	construction
3	de
4	ce
5	barrage
6	a
7	eu
8	un
9	impact
10	à
11	long
12	terme
13	non
14	seulement
15	sur
16	le
17	biotope
18	de
19	la
20	grotte
21	,
22	mais
23	également
24	sur
25	l'
26	exploration
27	de
28	la
29	grotte
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	construction	NOUN	7	nsubj
3	de	ADP	5	case
4	ce	DET	5	det
5	barrage	NOUN	2	nmod
6	a	AUX	7	aux:tense
7	eu	VERB	0	root
8	un	DET	9	det
9	impact	NOUN	7	obj
10	à	ADP	12	case
11	long	ADJ	12	amod
12	terme	NOUN	9	nmod
13	non	ADV	17	advmod
14	seulement	ADV	13	fixed
15	sur	ADP	17	case
16	le	DET	17	det
17	biotope	NOUN	9	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	grotte	NOUN	17	nmod
21	,	PUNCT	26	punct
22	mais	CCONJ	26	cc
23	également	ADV	26	advmod
24	sur	ADP	26	case
25	l'	DET	26	det
26	exploration	NOUN	17	conj
27	de	ADP	29	case
28	la	DET	29	det
29	grotte	NOUN	26	nmod
30	.	PUNCT	7	punct