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:
Un an plus tard le 13 juillet 2008, une quarantaine de chefs d'Etats et de gouvernements se rassemblent à Paris pour un grand « show » diplomatique et un dîner au Grand Palais, qui a d'ailleurs coûté 5050 euros par personne !
Postion	Tokenization
1	Un
2	an
3	plus
4	tard
5	le
6	13
7	juillet
8	2008
9	,
10	une
11	quarantaine
12	de
13	chefs
14	d'
15	Etats
16	et
17	de
18	gouvernements
19	se
20	rassemblent
21	à
22	Paris
23	pour
24	un
25	grand
26	«
27	show
28	»
29	diplomatique
30	et
31	un
32	dîner
33	au
34	à
35	le
36	Grand
37	Palais
38	,
39	qui
40	a
41	d'
42	ailleurs
43	coûté
44	5050
45	euros
46	par
47	personne
48	!
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	an	NOUN	20	obl:mod
3	plus	ADV	4	advmod
4	tard	ADV	2	advmod
5	le	DET	6	det
6	13	NUM	2	appos
7	juillet	NOUN	6	nmod
8	2008	NUM	7	nmod
9	,	PUNCT	2	punct
10	une	NUM	11	nummod
11	quarantaine	NOUN	20	nsubj
12	de	ADP	13	case
13	chefs	NOUN	11	nmod
14	d'	ADP	15	case
15	Etats	PROPN	13	nmod
16	et	CCONJ	18	cc
17	de	ADP	18	case
18	gouvernements	NOUN	15	conj
19	se	PRON	20	dep:comp
20	rassemblent	VERB	0	root
21	à	ADP	22	case
22	Paris	PROPN	20	obl:mod
23	pour	ADP	27	case
24	un	DET	27	det
25	grand	ADJ	27	amod
26	«	PUNCT	27	punct
27	show	NOUN	20	obl:mod
28	»	PUNCT	27	punct
29	diplomatique	ADJ	27	amod
30	et	CCONJ	32	cc
31	un	DET	32	det
32	dîner	NOUN	27	conj
33	au	_	None	_
34	à	ADP	35	case
35	le	DET	35	det
36	Grand	ADJ	32	nmod
37	Palais	NOUN	35	flat:name
38	,	PUNCT	42	punct
39	qui	PRON	42	nsubj
40	a	AUX	42	aux:tense
41	d'	ADP	42	advmod
42	ailleurs	ADV	40	fixed
43	coûté	VERB	32	acl:relcl
44	5050	NUM	44	nummod
45	euros	NOUN	42	obj
46	par	ADP	46	case
47	personne	NOUN	44	nmod
48	!	PUNCT	20	punct