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:
Le problème est le suivant : les catégories sont des concepts a priori--comment, dans ce cas, savoir si on a le droit de les appliquer aux phénomènes connus (c'est-à-dire reçus) par l'expérience.
Postion	Tokenization
1	Le
2	problème
3	est
4	le
5	suivant
6	:
7	les
8	catégories
9	sont
10	des
11	concepts
12	a
13	priori
14	--
15	comment
16	,
17	dans
18	ce
19	cas
20	,
21	savoir
22	si
23	on
24	a
25	le
26	droit
27	de
28	les
29	appliquer
30	aux
31	à
32	les
33	phénomènes
34	connus
35	(
36	c'est-à-dire
37	reçus
38	)
39	par
40	l'
41	expérience
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	problème	NOUN	5	nsubj
3	est	AUX	5	cop
4	le	DET	5	det
5	suivant	ADJ	0	root
6	:	PUNCT	11	punct
7	les	DET	8	det
8	catégories	NOUN	11	nsubj
9	sont	AUX	11	cop
10	des	DET	11	det
11	concepts	NOUN	5	parataxis
12	a	ADP	11	advmod
13	priori	X	12	fixed
14	--	PUNCT	21	punct
15	comment	ADV	21	advmod
16	,	PUNCT	15	punct
17	dans	ADP	19	case
18	ce	DET	19	det
19	cas	NOUN	21	obl:mod
20	,	PUNCT	19	punct
21	savoir	VERB	11	conj
22	si	SCONJ	24	mark
23	on	PRON	24	nsubj
24	a	VERB	21	advcl
25	le	DET	26	det
26	droit	NOUN	24	obj:lvc
27	de	ADP	29	mark
28	les	PRON	29	obj
29	appliquer	VERB	26	ccomp:obl
30	aux	_	None	_
31	à	ADP	32	case
32	les	DET	32	det
33	phénomènes	NOUN	29	obl:arg
34	connus	VERB	32	acl
35	(	PUNCT	36	punct
36	c'est-à-dire	ADV	36	cc
37	reçus	VERB	33	conj
38	)	PUNCT	36	punct
39	par	ADP	40	case
40	l'	DET	40	det
41	expérience	NOUN	33	obl:mod
42	.	PUNCT	5	punct