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'étang du Pourra, avec une superficie de terres sèches suffisante, avait retenu l'attention, malgré la présence d'une ligne à haute tension.
Postion	Tokenization
1	L'
2	étang
3	du
4	de
5	le
6	Pourra
7	,
8	avec
9	une
10	superficie
11	de
12	terres
13	sèches
14	suffisante
15	,
16	avait
17	retenu
18	l'
19	attention
20	,
21	malgré
22	la
23	présence
24	d'
25	une
26	ligne
27	à
28	haute
29	tension
30	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	étang	NOUN	16	nsubj
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	Pourra	PROPN	2	nmod
7	,	PUNCT	9	punct
8	avec	ADP	9	case
9	une	DET	9	det
10	superficie	NOUN	2	nmod
11	de	ADP	11	case
12	terres	NOUN	9	nmod
13	sèches	ADJ	11	amod
14	suffisante	ADJ	9	amod
15	,	PUNCT	9	punct
16	avait	AUX	16	aux:tense
17	retenu	VERB	0	root
18	l'	DET	18	det
19	attention	NOUN	16	obj
20	,	PUNCT	22	punct
21	malgré	ADP	22	case
22	la	DET	22	det
23	présence	NOUN	16	obl:mod
24	d'	ADP	25	case
25	une	DET	25	det
26	ligne	NOUN	22	nmod
27	à	ADP	28	case
28	haute	ADJ	28	amod
29	tension	NOUN	25	nmod
30	.	PUNCT	16	punct