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:
La ville est appelée Bad Doberan depuis 1921 (Bad, qui signifie « bain » en allemand, est un préfixe courant pour les villes thermales allemandes).
Postion	Tokenization
1	La
2	ville
3	est
4	appelée
5	Bad
6	Doberan
7	depuis
8	1921
9	(
10	Bad
11	,
12	qui
13	signifie
14	«
15	bain
16	»
17	en
18	allemand
19	,
20	est
21	un
22	préfixe
23	courant
24	pour
25	les
26	villes
27	thermales
28	allemandes
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ville	NOUN	4	nsubj:pass
3	est	AUX	4	aux:pass
4	appelée	VERB	0	root
5	Bad	PROPN	4	xcomp:pred
6	Doberan	PROPN	5	flat:name
7	depuis	ADP	8	case
8	1921	NUM	4	obl:mod
9	(	PUNCT	22	punct
10	Bad	PROPN	22	nsubj
11	,	PUNCT	13	punct
12	qui	PRON	13	nsubj
13	signifie	VERB	10	acl:relcl
14	«	PUNCT	15	punct
15	bain	NOUN	13	xcomp:pred
16	»	PUNCT	15	punct
17	en	ADP	18	case
18	allemand	NOUN	15	nmod
19	,	PUNCT	13	punct
20	est	AUX	22	cop
21	un	DET	22	det
22	préfixe	NOUN	4	parataxis
23	courant	ADJ	22	amod
24	pour	ADP	26	case
25	les	DET	26	det
26	villes	NOUN	22	nmod
27	thermales	ADJ	26	amod
28	allemandes	ADJ	26	amod
29	)	PUNCT	22	punct
30	.	PUNCT	4	punct