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:
Doberan (son nom à l'origine) resta un petit village jusqu'en 1793, quand le duc de Mecklembourg fonda la première station thermale, Heiligendamm.
Postion	Tokenization
1	Doberan
2	(
3	son
4	nom
5	à
6	l'
7	origine
8	)
9	resta
10	un
11	petit
12	village
13	jusqu'
14	en
15	1793
16	,
17	quand
18	le
19	duc
20	de
21	Mecklembourg
22	fonda
23	la
24	première
25	station
26	thermale
27	,
28	Heiligendamm
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Doberan	PROPN	9	nsubj
2	(	PUNCT	4	punct
3	son	DET	4	det
4	nom	NOUN	1	appos
5	à	ADP	7	case
6	l'	DET	7	det
7	origine	NOUN	4	nmod
8	)	PUNCT	4	punct
9	resta	VERB	0	root
10	un	DET	12	det
11	petit	ADJ	12	amod
12	village	NOUN	9	xcomp:pred
13	jusqu'	ADP	15	case
14	en	ADP	15	case
15	1793	NUM	9	obl:mod
16	,	PUNCT	22	punct
17	quand	SCONJ	22	mark
18	le	DET	19	det
19	duc	NOUN	22	nsubj
20	de	ADP	21	case
21	Mecklembourg	PROPN	19	nmod
22	fonda	VERB	9	advcl
23	la	DET	25	det
24	première	ADJ	25	amod
25	station	NOUN	22	obj
26	thermale	ADJ	25	amod
27	,	PUNCT	28	punct
28	Heiligendamm	PROPN	25	appos
29	.	PUNCT	9	punct