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 avoir amorcé la saison de baseball 2010 dans le AA chez les Senators d'Harrisburg, il gradue chez les Chiefs de Syracuse au niveau Triple-A, puis est promu chez les Nationals en mai.
Postion	Tokenization
1	Après
2	avoir
3	amorcé
4	la
5	saison
6	de
7	baseball
8	2010
9	dans
10	le
11	AA
12	chez
13	les
14	Senators
15	d'
16	Harrisburg
17	,
18	il
19	gradue
20	chez
21	les
22	Chiefs
23	de
24	Syracuse
25	au
26	à
27	le
28	niveau
29	Triple-A
30	,
31	puis
32	est
33	promu
34	chez
35	les
36	Nationals
37	en
38	mai
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	amorcé	VERB	19	advcl
4	la	DET	5	det
5	saison	NOUN	3	obj
6	de	ADP	7	case
7	baseball	NOUN	5	nmod
8	2010	NUM	7	nmod
9	dans	ADP	11	case
10	le	DET	11	det
11	AA	PROPN	3	obl:mod
12	chez	ADP	14	case
13	les	DET	14	det
14	Senators	PROPN	3	obl:mod
15	d'	ADP	16	case
16	Harrisburg	PROPN	14	nmod
17	,	PUNCT	3	punct
18	il	PRON	19	nsubj
19	gradue	VERB	0	root
20	chez	ADP	22	case
21	les	DET	22	det
22	Chiefs	PROPN	19	obl:mod
23	de	ADP	24	case
24	Syracuse	PROPN	22	nmod
25	au	_	None	_
26	à	ADP	27	case
27	le	DET	27	det
28	niveau	NOUN	19	obl:arg
29	Triple-A	PROPN	27	appos
30	,	PUNCT	32	punct
31	puis	ADV	32	cc
32	est	AUX	32	aux:pass
33	promu	VERB	19	conj
34	chez	ADP	35	case
35	les	DET	35	det
36	Nationals	PROPN	32	obl:mod
37	en	ADP	37	case
38	mai	NOUN	32	obl:mod
39	.	PUNCT	19	punct