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 réorganisation de l'impôt sur l'huile d'olive, principale ressource agricole du pays, nécessite une gestion plus stricte dont Caïd Essebsi tire encore une fois des louanges.
Postion	Tokenization
1	La
2	réorganisation
3	de
4	l'
5	impôt
6	sur
7	l'
8	huile
9	d'
10	olive
11	,
12	principale
13	ressource
14	agricole
15	du
16	de
17	le
18	pays
19	,
20	nécessite
21	une
22	gestion
23	plus
24	stricte
25	dont
26	Caïd
27	Essebsi
28	tire
29	encore
30	une
31	fois
32	des
33	louanges
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	réorganisation	NOUN	19	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	impôt	NOUN	2	nmod
6	sur	ADP	8	case
7	l'	DET	8	det
8	huile	NOUN	5	nmod
9	d'	ADP	10	case
10	olive	NOUN	8	nmod
11	,	PUNCT	13	punct
12	principale	ADJ	13	amod
13	ressource	NOUN	8	appos
14	agricole	ADJ	13	amod
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	pays	NOUN	13	nmod
19	,	PUNCT	13	punct
20	nécessite	VERB	0	root
21	une	DET	21	det
22	gestion	NOUN	19	obj
23	plus	ADV	23	advmod
24	stricte	ADJ	21	amod
25	dont	PRON	27	obl:arg
26	Caïd	PROPN	27	nsubj
27	Essebsi	PROPN	25	flat:name
28	tire	VERB	21	acl:relcl
29	encore	ADV	30	advmod
30	une	DET	30	det
31	fois	NOUN	27	obl:mod
32	des	DET	32	det
33	louanges	NOUN	27	obj
34	.	PUNCT	19	punct