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:
Après sa carrière de joueur, il devient arbitre et est secrétaire de la section rugby de l'Union des sociétés françaises de sports athlétiques.
Postion	Tokenization
1	Après
2	sa
3	carrière
4	de
5	joueur
6	,
7	il
8	devient
9	arbitre
10	et
11	est
12	secrétaire
13	de
14	la
15	section
16	rugby
17	de
18	l'
19	Union
20	des
21	de
22	les
23	sociétés
24	françaises
25	de
26	sports
27	athlétiques
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	sa	DET	3	det
3	carrière	NOUN	8	obl:mod
4	de	ADP	5	case
5	joueur	NOUN	3	nmod
6	,	PUNCT	3	punct
7	il	PRON	8	nsubj
8	devient	VERB	0	root
9	arbitre	NOUN	8	xcomp:pred
10	et	CCONJ	12	cc
11	est	AUX	12	cop
12	secrétaire	NOUN	8	conj
13	de	ADP	15	case
14	la	DET	15	det
15	section	NOUN	12	nmod
16	rugby	NOUN	15	appos
17	de	ADP	19	case
18	l'	DET	19	det
19	Union	NOUN	15	nmod
20	des	_	None	_
21	de	ADP	22	case
22	les	DET	22	det
23	sociétés	NOUN	19	nmod
24	françaises	ADJ	22	amod
25	de	ADP	25	case
26	sports	NOUN	22	nmod
27	athlétiques	ADJ	25	amod
28	.	PUNCT	8	punct