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:
L'Australien Matthew Goss (HTC) est devenu le premier non-Européen à remporter samedi Milan-Sanremo, la première grande classique de la saison courue sur 298 kilomètres.
Postion	Tokenization
1	L'
2	Australien
3	Matthew
4	Goss
5	(
6	HTC
7	)
8	est
9	devenu
10	le
11	premier
12	non-Européen
13	à
14	remporter
15	samedi
16	Milan-Sanremo
17	,
18	la
19	première
20	grande
21	classique
22	de
23	la
24	saison
25	courue
26	sur
27	298
28	kilomètres
29	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	Australien	PROPN	9	nsubj
3	Matthew	PROPN	2	appos
4	Goss	PROPN	3	flat:name
5	(	PUNCT	6	punct
6	HTC	PROPN	3	nmod
7	)	PUNCT	6	punct
8	est	AUX	9	aux:tense
9	devenu	VERB	0	root
10	le	DET	12	det
11	premier	ADJ	12	amod
12	non-Européen	NOUN	9	xcomp:pred
13	à	ADP	14	mark
14	remporter	VERB	12	acl
15	samedi	NOUN	14	obl:mod
16	Milan-Sanremo	PROPN	14	obj
17	,	PUNCT	21	punct
18	la	DET	21	det
19	première	ADJ	21	amod
20	grande	ADJ	21	amod
21	classique	NOUN	16	appos
22	de	ADP	24	case
23	la	DET	24	det
24	saison	NOUN	21	nmod
25	courue	VERB	21	acl
26	sur	ADP	28	case
27	298	NUM	28	nummod
28	kilomètres	NOUN	25	obl:mod
29	.	PUNCT	9	punct