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:
Aujourd'hui ce sont les départements de la Marne et la Meuse, ainsi que les régions de Champagne-Ardenne et de Lorraine, mais jadis c'étaient le Royaume de France et le Saint-Empire romain germanique.
Postion	Tokenization
1	Aujourd'hui
2	ce
3	sont
4	les
5	départements
6	de
7	la
8	Marne
9	et
10	la
11	Meuse
12	,
13	ainsi
14	que
15	les
16	régions
17	de
18	Champagne-Ardenne
19	et
20	de
21	Lorraine
22	,
23	mais
24	jadis
25	c'
26	étaient
27	le
28	Royaume
29	de
30	France
31	et
32	le
33	Saint-Empire
34	romain
35	germanique
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Aujourd'hui	ADV	5	advmod
2	ce	PRON	5	nsubj
3	sont	AUX	5	cop
4	les	DET	5	det
5	départements	NOUN	0	root
6	de	ADP	8	case
7	la	DET	8	det
8	Marne	PROPN	5	nmod
9	et	CCONJ	11	cc
10	la	DET	11	det
11	Meuse	PROPN	8	conj
12	,	PUNCT	16	punct
13	ainsi	ADV	16	cc
14	que	SCONJ	13	fixed
15	les	DET	16	det
16	régions	NOUN	5	conj
17	de	ADP	18	case
18	Champagne-Ardenne	PROPN	16	nmod
19	et	CCONJ	21	cc
20	de	ADP	21	case
21	Lorraine	PROPN	18	conj
22	,	PUNCT	28	punct
23	mais	CCONJ	28	cc
24	jadis	ADV	28	advmod
25	c'	PRON	28	nsubj
26	étaient	AUX	28	cop
27	le	DET	28	det
28	Royaume	NOUN	5	conj
29	de	ADP	30	case
30	France	PROPN	28	nmod
31	et	CCONJ	33	cc
32	le	DET	33	det
33	Saint-Empire	PROPN	28	conj
34	romain	ADJ	33	amod
35	germanique	ADJ	33	amod
36	.	PUNCT	5	punct