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:
Il tire son nom de JD Ellis, conseiller municipal de Johannesburg, qui fut à l'origine du projet en réservant un terrain de plus de 5 hectares.
Postion	Tokenization
1	Il
2	tire
3	son
4	nom
5	de
6	JD
7	Ellis
8	,
9	conseiller
10	municipal
11	de
12	Johannesburg
13	,
14	qui
15	fut
16	à
17	l'
18	origine
19	du
20	de
21	le
22	projet
23	en
24	réservant
25	un
26	terrain
27	de
28	plus
29	de
30	5
31	hectares
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	tire	VERB	0	root
3	son	DET	4	det
4	nom	NOUN	2	obj
5	de	ADP	6	case
6	JD	PROPN	2	obl:arg
7	Ellis	PROPN	6	flat:name
8	,	PUNCT	9	punct
9	conseiller	NOUN	6	appos
10	municipal	ADJ	9	amod
11	de	ADP	12	case
12	Johannesburg	PROPN	9	nmod
13	,	PUNCT	9	punct
14	qui	PRON	15	nsubj
15	fut	VERB	6	acl:relcl
16	à	ADP	18	case
17	l'	DET	18	det
18	origine	NOUN	15	obl:arg
19	du	_	None	_
20	de	ADP	21	case
21	le	DET	21	det
22	projet	NOUN	18	nmod
23	en	ADP	23	mark
24	réservant	VERB	15	advcl
25	un	DET	25	det
26	terrain	NOUN	23	obj
27	de	ADP	27	case
28	plus	ADV	25	nmod
29	de	ADP	30	case
30	5	NUM	30	nummod
31	hectares	NOUN	27	dep:comp
32	.	PUNCT	2	punct