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:
L'Académie hongroise des sciences (en hongrois : Magyar Tudományos Akadémia, MTA) est une institution académique supérieure en Hongrie située dans le arrondissement de Budapest.
Postion	Tokenization
1	L'
2	Académie
3	hongroise
4	des
5	de
6	les
7	sciences
8	(
9	en
10	hongrois
11	:
12	Magyar
13	Tudományos
14	Akadémia
15	,
16	MTA
17	)
18	est
19	une
20	institution
21	académique
22	supérieure
23	en
24	Hongrie
25	située
26	dans
27	le
28	arrondissement
29	de
30	Budapest
31	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	Académie	NOUN	19	nsubj
3	hongroise	ADJ	2	amod
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	sciences	NOUN	2	nmod
8	(	PUNCT	11	punct
9	en	ADP	9	case
10	hongrois	NOUN	11	nmod
11	:	PUNCT	9	punct
12	Magyar	PROPN	2	appos
13	Tudományos	PROPN	11	flat:name
14	Akadémia	PROPN	12	flat:name
15	,	PUNCT	15	punct
16	MTA	PROPN	11	appos
17	)	PUNCT	11	punct
18	est	AUX	19	cop
19	une	DET	19	det
20	institution	NOUN	0	root
21	académique	ADJ	19	amod
22	supérieure	ADJ	19	amod
23	en	ADP	23	case
24	Hongrie	PROPN	19	nmod
25	située	VERB	19	acl
26	dans	ADP	27	case
27	le	DET	27	det
28	arrondissement	NOUN	24	obl:arg
29	de	ADP	29	case
30	Budapest	PROPN	27	nmod
31	.	PUNCT	19	punct