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:
Il dirige alors le Front national du Bas-Rhin avec Stéphane Bourhis, conseiller régional d'Alsace et conseiller municipal de Hoenheim.
Postion	Tokenization
1	Il
2	dirige
3	alors
4	le
5	Front
6	national
7	du
8	de
9	le
10	Bas-Rhin
11	avec
12	Stéphane
13	Bourhis
14	,
15	conseiller
16	régional
17	d'
18	Alsace
19	et
20	conseiller
21	municipal
22	de
23	Hoenheim
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	dirige	VERB	0	root
3	alors	ADV	2	advmod
4	le	DET	5	det
5	Front	NOUN	2	obj
6	national	ADJ	5	amod
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	Bas-Rhin	PROPN	5	nmod
11	avec	ADP	11	case
12	Stéphane	PROPN	2	obl:mod
13	Bourhis	PROPN	11	flat:name
14	,	PUNCT	14	punct
15	conseiller	NOUN	11	appos
16	régional	ADJ	14	amod
17	d'	ADP	17	case
18	Alsace	PROPN	14	nmod
19	et	CCONJ	19	cc
20	conseiller	NOUN	14	conj
21	municipal	ADJ	19	amod
22	de	ADP	22	case
23	Hoenheim	PROPN	19	nmod
24	.	PUNCT	2	punct