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:
Il a été classé sixième, dans la catégorie des 60 kg, au 13e Championnats de Bodybuilding qui ont eu lieu à Tokyo en 2005.
Postion	Tokenization
1	Il
2	a
3	été
4	classé
5	sixième
6	,
7	dans
8	la
9	catégorie
10	des
11	de
12	les
13	60
14	kg
15	,
16	au
17	à
18	les
19	13e
20	Championnats
21	de
22	Bodybuilding
23	qui
24	ont
25	eu
26	lieu
27	à
28	Tokyo
29	en
30	2005
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj:pass
2	a	AUX	4	aux:tense
3	été	AUX	4	aux:pass
4	classé	VERB	0	root
5	sixième	ADJ	4	xcomp:pred
6	,	PUNCT	9	punct
7	dans	ADP	9	case
8	la	DET	9	det
9	catégorie	NOUN	4	obl:mod
10	des	_	None	_
11	de	ADP	13	case
12	les	DET	13	det
13	60	NUM	13	nummod
14	kg	NOUN	9	nmod
15	,	PUNCT	9	punct
16	au	_	None	_
17	à	ADP	18	case
18	les	DET	18	det
19	13e	ADJ	18	amod
20	Championnats	NOUN	4	obl:mod
21	de	ADP	20	case
22	Bodybuilding	NOUN	18	nmod
23	qui	PRON	23	nsubj
24	ont	AUX	23	aux:tense
25	eu	VERB	18	acl:relcl
26	lieu	NOUN	23	obj:lvc
27	à	ADP	26	case
28	Tokyo	PROPN	24	nmod
29	en	ADP	28	case
30	2005	NUM	24	nmod
31	.	PUNCT	4	punct