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:
Chris Columbus réalise, la plupart des artistes originaux reprenant leur rôle (Diggs, Heredia, Martin, Menzel, Pascal et Rapp), plus Rosario Dawson dans le rôle de Mimi, et Tracie Thoms dans celui de Joanne.
Postion	Tokenization
1	Chris
2	Columbus
3	réalise
4	,
5	la
6	plupart
7	des
8	de
9	les
10	artistes
11	originaux
12	reprenant
13	leur
14	rôle
15	(
16	Diggs
17	,
18	Heredia
19	,
20	Martin
21	,
22	Menzel
23	,
24	Pascal
25	et
26	Rapp
27	)
28	,
29	plus
30	Rosario
31	Dawson
32	dans
33	le
34	rôle
35	de
36	Mimi
37	,
38	et
39	Tracie
40	Thoms
41	dans
42	celui
43	de
44	Joanne
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Chris	PROPN	3	nsubj
2	Columbus	PROPN	1	flat:name
3	réalise	VERB	0	root
4	,	PUNCT	6	punct
5	la	DET	6	det
6	plupart	NOUN	11	nsubj
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	artistes	NOUN	6	nmod
11	originaux	ADJ	9	amod
12	reprenant	VERB	3	advcl
13	leur	DET	13	det
14	rôle	NOUN	11	obj
15	(	PUNCT	15	punct
16	Diggs	PROPN	6	appos
17	,	PUNCT	17	punct
18	Heredia	PROPN	15	conj
19	,	PUNCT	19	punct
20	Martin	PROPN	15	conj
21	,	PUNCT	21	punct
22	Menzel	PROPN	15	conj
23	,	PUNCT	23	punct
24	Pascal	PROPN	15	conj
25	et	CCONJ	25	cc
26	Rapp	PROPN	15	conj
27	)	PUNCT	15	punct
28	,	PUNCT	15	punct
29	plus	ADP	29	case
30	Rosario	PROPN	6	nmod
31	Dawson	PROPN	29	flat:name
32	dans	ADP	33	case
33	le	DET	33	det
34	rôle	NOUN	29	nmod
35	de	ADP	35	case
36	Mimi	PROPN	33	nmod
37	,	PUNCT	38	punct
38	et	CCONJ	38	cc
39	Tracie	PROPN	29	conj
40	Thoms	PROPN	38	flat:name
41	dans	ADP	41	case
42	celui	PRON	38	nmod
43	de	ADP	43	case
44	Joanne	PROPN	41	nmod
45	.	PUNCT	3	punct