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:
J'ai organisé une conférence suivi d'un cocktail et Curty's a su répondre à mes demandes avec un grand professionnalisme et une grande rigueur.
Postion	Tokenization
1	J'
2	ai
3	organisé
4	une
5	conférence
6	suivi
7	d'
8	un
9	cocktail
10	et
11	Curty's
12	a
13	su
14	répondre
15	à
16	mes
17	demandes
18	avec
19	un
20	grand
21	professionnalisme
22	et
23	une
24	grande
25	rigueur
26	.
Position	Tokenization	UPOS	Head	Deprel
1	J'	PRON	3	nsubj
2	ai	AUX	3	aux:tense
3	organisé	VERB	0	root
4	une	DET	5	det
5	conférence	NOUN	3	obj
6	suivi	VERB	5	acl
7	d'	ADP	9	case
8	un	DET	9	det
9	cocktail	NOUN	6	obl:arg
10	et	CCONJ	13	cc
11	Curty's	X	13	nsubj
12	a	AUX	13	aux:tense
13	su	VERB	3	conj
14	répondre	VERB	13	xcomp:obj
15	à	ADP	17	case
16	mes	DET	17	det
17	demandes	NOUN	14	obl:arg
18	avec	ADP	21	case
19	un	DET	21	det
20	grand	ADJ	21	amod
21	professionnalisme	NOUN	14	obl:mod
22	et	CCONJ	25	cc
23	une	DET	25	det
24	grande	ADJ	25	amod
25	rigueur	NOUN	21	conj
26	.	PUNCT	3	punct