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:
Les deux coureurs australiens Carey Hall et Stephen Pate, initialement sur le podium du championnat du monde de vitesse professionnel, ont été contrôlés positifs aux stéroïdes.
Postion	Tokenization
1	Les
2	deux
3	coureurs
4	australiens
5	Carey
6	Hall
7	et
8	Stephen
9	Pate
10	,
11	initialement
12	sur
13	le
14	podium
15	du
16	de
17	le
18	championnat
19	du
20	de
21	le
22	monde
23	de
24	vitesse
25	professionnel
26	,
27	ont
28	été
29	contrôlés
30	positifs
31	aux
32	à
33	les
34	stéroïdes
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	deux	NUM	3	nummod
3	coureurs	NOUN	27	nsubj:pass
4	australiens	ADJ	3	amod
5	Carey	PROPN	3	appos
6	Hall	PROPN	5	flat:name
7	et	CCONJ	8	cc
8	Stephen	PROPN	5	conj
9	Pate	PROPN	8	flat:name
10	,	PUNCT	14	punct
11	initialement	ADV	14	advmod
12	sur	ADP	14	case
13	le	DET	14	det
14	podium	NOUN	3	nmod
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	championnat	NOUN	14	nmod
19	du	_	None	_
20	de	ADP	20	case
21	le	DET	20	det
22	monde	NOUN	17	nmod
23	de	ADP	22	case
24	vitesse	NOUN	17	nmod
25	professionnel	ADJ	17	amod
26	,	PUNCT	14	punct
27	ont	AUX	27	aux:tense
28	été	AUX	27	aux:pass
29	contrôlés	VERB	0	root
30	positifs	ADJ	27	xcomp:pred
31	aux	_	None	_
32	à	ADP	31	case
33	les	DET	31	det
34	stéroïdes	NOUN	28	obl:arg
35	.	PUNCT	27	punct