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:
Les prof sont des français de France, ce qui est plutôt intéressant (accent, vocabulaire), que ce soit pour les élèves de passage ou pour les anglophones qui veulent apprendre la langue.
Postion	Tokenization
1	Les
2	prof
3	sont
4	des
5	français
6	de
7	France
8	,
9	ce
10	qui
11	est
12	plutôt
13	intéressant
14	(
15	accent
16	,
17	vocabulaire
18	)
19	,
20	que
21	ce
22	soit
23	pour
24	les
25	élèves
26	de
27	passage
28	ou
29	pour
30	les
31	anglophones
32	qui
33	veulent
34	apprendre
35	la
36	langue
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	prof	NOUN	5	nsubj
3	sont	AUX	5	cop
4	des	DET	5	det
5	français	ADJ	0	root
6	de	ADP	7	case
7	France	PROPN	5	obl:mod
8	,	PUNCT	9	punct
9	ce	PRON	5	parataxis
10	qui	PRON	13	nsubj
11	est	AUX	13	cop
12	plutôt	ADV	13	advmod
13	intéressant	ADJ	9	acl:relcl
14	(	PUNCT	15	punct
15	accent	NOUN	13	parataxis
16	,	PUNCT	17	punct
17	vocabulaire	NOUN	15	conj
18	)	PUNCT	15	punct
19	,	PUNCT	22	punct
20	que	SCONJ	22	mark
21	ce	PRON	22	nsubj
22	soit	VERB	13	advcl
23	pour	ADP	25	case
24	les	DET	25	det
25	élèves	NOUN	22	obl:mod
26	de	ADP	27	case
27	passage	NOUN	25	nmod
28	ou	CCONJ	31	cc
29	pour	ADP	31	case
30	les	DET	31	det
31	anglophones	NOUN	25	conj
32	qui	PRON	33	nsubj
33	veulent	VERB	31	acl:relcl
34	apprendre	VERB	33	xcomp:obj
35	la	DET	36	det
36	langue	NOUN	34	obj
37	.	PUNCT	5	punct