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:
Après avoir étudié à l'université de Canterbury et s'être installé en Australie en 1965, il écrit sa thèse sur les langues des îles Loyauté.
Postion	Tokenization
1	Après
2	avoir
3	étudié
4	à
5	l'
6	université
7	de
8	Canterbury
9	et
10	s'
11	être
12	installé
13	en
14	Australie
15	en
16	1965
17	,
18	il
19	écrit
20	sa
21	thèse
22	sur
23	les
24	langues
25	des
26	de
27	les
28	îles
29	Loyauté
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	étudié	VERB	19	advcl
4	à	ADP	6	case
5	l'	DET	6	det
6	université	NOUN	3	obl:mod
7	de	ADP	8	case
8	Canterbury	PROPN	6	nmod
9	et	CCONJ	12	cc
10	s'	PRON	12	obj
11	être	AUX	12	aux:tense
12	installé	VERB	3	conj
13	en	ADP	14	case
14	Australie	PROPN	12	obl:mod
15	en	ADP	16	case
16	1965	NUM	12	obl:mod
17	,	PUNCT	3	punct
18	il	PRON	19	nsubj
19	écrit	VERB	0	root
20	sa	DET	21	det
21	thèse	NOUN	19	obj
22	sur	ADP	24	case
23	les	DET	24	det
24	langues	NOUN	19	obl:mod
25	des	_	None	_
26	de	ADP	27	case
27	les	DET	27	det
28	îles	NOUN	24	nmod
29	Loyauté	PROPN	27	appos
30	.	PUNCT	19	punct