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:
Donald Arthur Mattingly (né le 20 avril 1961 à Evansville, Indiana, États-Unis) est un ancien joueur de premier but des Ligues majeures de baseball.
Postion	Tokenization
1	Donald
2	Arthur
3	Mattingly
4	(
5	né
6	le
7	20
8	avril
9	1961
10	à
11	Evansville
12	,
13	Indiana
14	,
15	États-Unis
16	)
17	est
18	un
19	ancien
20	joueur
21	de
22	premier
23	but
24	des
25	de
26	les
27	Ligues
28	majeures
29	de
30	baseball
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Donald	PROPN	20	nsubj
2	Arthur	PROPN	1	flat:name
3	Mattingly	PROPN	2	flat:name
4	(	PUNCT	5	punct
5	né	VERB	1	acl
6	le	DET	7	det
7	20	NUM	5	obl:arg
8	avril	NOUN	7	nmod
9	1961	NUM	8	nmod
10	à	ADP	11	case
11	Evansville	PROPN	5	obl:arg
12	,	PUNCT	13	punct
13	Indiana	PROPN	11	nmod
14	,	PUNCT	15	punct
15	États-Unis	PROPN	11	nmod
16	)	PUNCT	5	punct
17	est	AUX	20	cop
18	un	DET	20	det
19	ancien	ADJ	20	amod
20	joueur	NOUN	0	root
21	de	ADP	23	case
22	premier	ADJ	23	amod
23	but	NOUN	20	nmod
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	Ligues	NOUN	20	nmod
28	majeures	ADJ	26	amod
29	de	ADP	29	case
30	baseball	NOUN	26	nmod
31	.	PUNCT	20	punct