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 fondamental de la burka est celui d'une immigration tellement nombreuse qu'elle entend imposer ses usages, même les plus contraires à nos traditions.
Postion	Tokenization
1	Le
2	problème
3	fondamental
4	de
5	la
6	burka
7	est
8	celui
9	d'
10	une
11	immigration
12	tellement
13	nombreuse
14	qu'
15	elle
16	entend
17	imposer
18	ses
19	usages
20	,
21	même
22	les
23	plus
24	contraires
25	à
26	nos
27	traditions
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	problème	NOUN	8	nsubj
3	fondamental	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	burka	NOUN	2	nmod
7	est	AUX	8	cop
8	celui	PRON	0	root
9	d'	ADP	11	case
10	une	DET	11	det
11	immigration	NOUN	8	nmod
12	tellement	ADV	13	advmod
13	nombreuse	ADJ	11	amod
14	qu'	SCONJ	16	mark
15	elle	PRON	16	nsubj
16	entend	VERB	12	ccomp:obj
17	imposer	VERB	16	xcomp:obj
18	ses	DET	19	det
19	usages	NOUN	17	obj
20	,	PUNCT	24	punct
21	même	ADV	24	advmod
22	les	DET	24	advmod
23	plus	ADV	22	fixed
24	contraires	ADJ	19	amod
25	à	ADP	27	case
26	nos	DET	27	det
27	traditions	NOUN	24	obl:arg
28	.	PUNCT	8	punct