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:
Elle représente une jeune femme élégante, Ninalee Allen Craig, marchant sur le trottoir d'une rue italienne, à Florence, sous le regard convergent d'une quinzaine d'hommes de tous âges en position statique.
Postion	Tokenization
1	Elle
2	représente
3	une
4	jeune
5	femme
6	élégante
7	,
8	Ninalee
9	Allen
10	Craig
11	,
12	marchant
13	sur
14	le
15	trottoir
16	d'
17	une
18	rue
19	italienne
20	,
21	à
22	Florence
23	,
24	sous
25	le
26	regard
27	convergent
28	d'
29	une
30	quinzaine
31	d'
32	hommes
33	de
34	tous
35	âges
36	en
37	position
38	statique
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	représente	VERB	0	root
3	une	DET	5	det
4	jeune	ADJ	5	amod
5	femme	NOUN	2	xcomp:pred
6	élégante	ADJ	5	amod
7	,	PUNCT	8	punct
8	Ninalee	PROPN	5	appos
9	Allen	PROPN	8	flat:name
10	Craig	PROPN	9	flat:name
11	,	PUNCT	12	punct
12	marchant	VERB	5	acl
13	sur	ADP	15	case
14	le	DET	15	det
15	trottoir	NOUN	12	obl:mod
16	d'	ADP	18	case
17	une	DET	18	det
18	rue	NOUN	15	nmod
19	italienne	ADJ	18	amod
20	,	PUNCT	22	punct
21	à	ADP	22	case
22	Florence	PROPN	12	obl:mod
23	,	PUNCT	26	punct
24	sous	ADP	26	case
25	le	DET	26	det
26	regard	NOUN	12	obl:mod
27	convergent	ADJ	26	amod
28	d'	ADP	30	case
29	une	NUM	30	nummod
30	quinzaine	NOUN	26	nmod
31	d'	ADP	32	case
32	hommes	NOUN	30	nmod
33	de	ADP	35	case
34	tous	DET	35	det
35	âges	NOUN	32	nmod
36	en	ADP	37	case
37	position	NOUN	32	nmod
38	statique	ADJ	37	amod
39	.	PUNCT	2	punct