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:
Cela n'empêcha pas dès 1830 le premier bourgmestre, Nicolas Rouppe, d'ériger le français comme langue administrative unique pour Bruxelles.
Postion	Tokenization
1	Cela
2	n'
3	empêcha
4	pas
5	dès
6	1830
7	le
8	premier
9	bourgmestre
10	,
11	Nicolas
12	Rouppe
13	,
14	d'
15	ériger
16	le
17	français
18	comme
19	langue
20	administrative
21	unique
22	pour
23	Bruxelles
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Cela	PRON	3	nsubj
2	n'	ADV	3	advmod
3	empêcha	VERB	0	root
4	pas	ADV	3	advmod
5	dès	ADP	6	case
6	1830	NUM	3	obl:mod
7	le	DET	9	det
8	premier	ADJ	9	amod
9	bourgmestre	NOUN	3	obj
10	,	PUNCT	11	punct
11	Nicolas	PROPN	9	appos
12	Rouppe	PROPN	11	flat:name
13	,	PUNCT	11	punct
14	d'	ADP	15	mark
15	ériger	VERB	3	xcomp:obl
16	le	DET	17	det
17	français	NOUN	15	obj
18	comme	ADP	19	case
19	langue	NOUN	15	obl:mod
20	administrative	ADJ	19	amod
21	unique	ADJ	19	amod
22	pour	ADP	23	case
23	Bruxelles	PROPN	15	obl:mod
24	.	PUNCT	3	punct