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:
Bayano Ali Kamani (né le 17 avril 1980 à Houston, aux États-Unis) est un athlète panaméen, spécialiste du 400 mètres haies.
Postion	Tokenization
1	Bayano
2	Ali
3	Kamani
4	(
5	né
6	le
7	17
8	avril
9	1980
10	à
11	Houston
12	,
13	aux
14	à
15	les
16	États-Unis
17	)
18	est
19	un
20	athlète
21	panaméen
22	,
23	spécialiste
24	du
25	de
26	le
27	400
28	mètres
29	haies
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Bayano	PROPN	19	nsubj
2	Ali	PROPN	1	flat:name
3	Kamani	PROPN	2	flat:name
4	(	PUNCT	5	punct
5	né	VERB	1	acl
6	le	DET	7	det
7	17	NUM	5	obl:arg
8	avril	NOUN	7	nmod
9	1980	NUM	8	nmod
10	à	ADP	11	case
11	Houston	PROPN	5	obl:arg
12	,	PUNCT	15	punct
13	aux	_	None	_
14	à	ADP	15	case
15	les	DET	15	det
16	États-Unis	PROPN	5	obl:mod
17	)	PUNCT	5	punct
18	est	AUX	19	cop
19	un	DET	19	det
20	athlète	NOUN	0	root
21	panaméen	ADJ	19	amod
22	,	PUNCT	22	punct
23	spécialiste	NOUN	19	appos
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	400	NUM	26	nummod
28	mètres	NOUN	22	nmod
29	haies	NOUN	26	nmod
30	.	PUNCT	19	punct