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 qu'eut reçu sa charte en 1795, il était presque naturel qu'il continuât son œuvre dans le même bâtiment qu'occupait déjà l'Académie Schenectady.
Postion	Tokenization
1	Après
2	qu'
3	eut
4	reçu
5	sa
6	charte
7	en
8	1795
9	,
10	il
11	était
12	presque
13	naturel
14	qu'
15	il
16	continuât
17	son
18	œuvre
19	dans
20	le
21	même
22	bâtiment
23	qu'
24	occupait
25	déjà
26	l'
27	Académie
28	Schenectady
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	4	mark
2	qu'	SCONJ	4	mark
3	eut	AUX	4	aux:tense
4	reçu	VERB	13	advcl
5	sa	DET	6	det
6	charte	NOUN	4	obj
7	en	ADP	8	case
8	1795	NUM	4	obl:mod
9	,	PUNCT	4	punct
10	il	PRON	13	expl:subj
11	était	AUX	13	cop
12	presque	ADV	13	advmod
13	naturel	ADJ	0	root
14	qu'	SCONJ	16	mark
15	il	PRON	16	nsubj
16	continuât	VERB	13	csubj
17	son	DET	18	det
18	œuvre	NOUN	16	obj
19	dans	ADP	22	case
20	le	DET	22	det
21	même	ADJ	22	amod
22	bâtiment	NOUN	16	obl:mod
23	qu'	PRON	24	obj
24	occupait	VERB	22	acl:relcl
25	déjà	ADV	24	advmod
26	l'	DET	27	det
27	Académie	NOUN	24	nsubj
28	Schenectady	PROPN	27	appos
29	.	PUNCT	13	punct