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 fut d'autant plus surpris par ce qu'il y trouva, des gens ouverts et amicaux et le plus beau paysage qu'il ait vu en Australie.
Postion	Tokenization
1	Il
2	fut
3	d'
4	autant
5	plus
6	surpris
7	par
8	ce
9	qu'
10	il
11	y
12	trouva
13	,
14	des
15	gens
16	ouverts
17	et
18	amicaux
19	et
20	le
21	plus
22	beau
23	paysage
24	qu'
25	il
26	ait
27	vu
28	en
29	Australie
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	6	nsubj:pass
2	fut	AUX	6	aux:pass
3	d'	ADP	6	advmod
4	autant	ADV	3	fixed
5	plus	ADV	3	fixed
6	surpris	VERB	0	root
7	par	ADP	8	case
8	ce	PRON	6	obl:agent
9	qu'	PRON	12	obj
10	il	PRON	12	nsubj
11	y	PRON	12	obl:mod
12	trouva	VERB	8	acl:relcl
13	,	PUNCT	15	punct
14	des	DET	15	det
15	gens	NOUN	8	appos
16	ouverts	ADJ	15	amod
17	et	CCONJ	18	cc
18	amicaux	ADJ	16	conj
19	et	CCONJ	23	cc
20	le	DET	23	det
21	plus	ADV	22	advmod
22	beau	ADJ	23	amod
23	paysage	NOUN	15	conj
24	qu'	PRON	27	obj
25	il	PRON	27	nsubj
26	ait	AUX	27	aux:tense
27	vu	VERB	23	acl:relcl
28	en	ADP	29	case
29	Australie	PROPN	27	obl:mod
30	.	PUNCT	6	punct