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:
Maire de Longny-au-Perche et conseiller général, il est député de l'Orne de 1914 à 1931 et sénateur de ce même département de 1931 à 1940.
Postion	Tokenization
1	Maire
2	de
3	Longny-au-Perche
4	et
5	conseiller
6	général
7	,
8	il
9	est
10	député
11	de
12	l'
13	Orne
14	de
15	1914
16	à
17	1931
18	et
19	sénateur
20	de
21	ce
22	même
23	département
24	de
25	1931
26	à
27	1940
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Maire	NOUN	10	advcl
2	de	ADP	3	case
3	Longny-au-Perche	PROPN	1	nmod
4	et	CCONJ	5	cc
5	conseiller	NOUN	1	conj
6	général	ADJ	5	amod
7	,	PUNCT	1	punct
8	il	PRON	10	nsubj
9	est	AUX	10	cop
10	député	NOUN	0	root
11	de	ADP	13	case
12	l'	DET	13	det
13	Orne	PROPN	10	nmod
14	de	ADP	15	case
15	1914	NUM	10	nmod
16	à	ADP	17	case
17	1931	NUM	15	nmod
18	et	CCONJ	19	cc
19	sénateur	NOUN	10	conj
20	de	ADP	23	case
21	ce	DET	23	det
22	même	ADJ	23	amod
23	département	NOUN	19	nmod
24	de	ADP	25	case
25	1931	NUM	19	nmod
26	à	ADP	27	case
27	1940	NUM	25	nmod
28	.	PUNCT	10	punct