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 un bref retour à New York, il laisse derrière lui son poste à l'Université de la Colombie-Britannique et s'installe définitivement en Thaïlande à la fin des années 1980.
Postion	Tokenization
1	Après
2	un
3	bref
4	retour
5	à
6	New
7	York
8	,
9	il
10	laisse
11	derrière
12	lui
13	son
14	poste
15	à
16	l'
17	Université
18	de
19	la
20	Colombie-Britannique
21	et
22	s'
23	installe
24	définitivement
25	en
26	Thaïlande
27	à
28	la
29	fin
30	des
31	de
32	les
33	années
34	1980
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	4	case
2	un	DET	4	det
3	bref	ADJ	4	amod
4	retour	NOUN	10	obl:mod
5	à	ADP	6	case
6	New	PROPN	4	nmod
7	York	PROPN	6	flat:name
8	,	PUNCT	4	punct
9	il	PRON	10	nsubj
10	laisse	VERB	0	root
11	derrière	ADP	12	case
12	lui	PRON	10	obl:mod
13	son	DET	14	det
14	poste	NOUN	10	obj
15	à	ADP	17	case
16	l'	DET	17	det
17	Université	NOUN	14	nmod
18	de	ADP	20	case
19	la	DET	20	det
20	Colombie-Britannique	PROPN	17	nmod
21	et	CCONJ	23	cc
22	s'	PRON	23	obj
23	installe	VERB	10	conj
24	définitivement	ADV	23	advmod
25	en	ADP	26	case
26	Thaïlande	PROPN	23	obl:mod
27	à	ADP	29	case
28	la	DET	29	det
29	fin	NOUN	23	obl:mod
30	des	_	None	_
31	de	ADP	32	case
32	les	DET	32	det
33	années	NOUN	29	nmod
34	1980	NUM	32	nmod
35	.	PUNCT	10	punct