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 ses études dans un collège méthodiste de Belfast, il entame en 1922 un double cursus de mathématiques et physique expérimentale au Trinity College de Dublin, qu'il achève avec succès en 1926/27.
Postion	Tokenization
1	Après
2	ses
3	études
4	dans
5	un
6	collège
7	méthodiste
8	de
9	Belfast
10	,
11	il
12	entame
13	en
14	1922
15	un
16	double
17	cursus
18	de
19	mathématiques
20	et
21	physique
22	expérimentale
23	au
24	à
25	le
26	Trinity
27	College
28	de
29	Dublin
30	,
31	qu'
32	il
33	achève
34	avec
35	succès
36	en
37	1926
38	/
39	27
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	ses	DET	3	det
3	études	NOUN	12	obl:mod
4	dans	ADP	6	case
5	un	DET	6	det
6	collège	NOUN	3	nmod
7	méthodiste	ADJ	6	amod
8	de	ADP	9	case
9	Belfast	PROPN	6	nmod
10	,	PUNCT	3	punct
11	il	PRON	12	nsubj
12	entame	VERB	0	root
13	en	ADP	14	case
14	1922	NUM	12	obl:mod
15	un	DET	17	det
16	double	ADJ	17	amod
17	cursus	NOUN	12	obj
18	de	ADP	19	case
19	mathématiques	NOUN	17	nmod
20	et	CCONJ	21	cc
21	physique	NOUN	19	conj
22	expérimentale	ADJ	21	amod
23	au	_	None	_
24	à	ADP	25	case
25	le	DET	25	det
26	Trinity	PROPN	12	obl:mod
27	College	PROPN	25	flat:name
28	de	ADP	28	case
29	Dublin	PROPN	25	nmod
30	,	PUNCT	32	punct
31	qu'	PRON	32	obj
32	il	PRON	32	nsubj
33	achève	VERB	17	acl:relcl
34	avec	ADP	34	case
35	succès	NOUN	32	obl:mod
36	en	ADP	36	case
37	1926	NUM	32	obl:mod
38	/	SYM	38	cc
39	27	NUM	36	conj
40	.	PUNCT	12	punct