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:
Německé firmy objevily český trh a nalézají u sousedů dokonce výrobky, které dříve dovážely i z jiných kontinentů, pokračuje Hofbauer.
Postion	Tokenization
1	Německé
2	firmy
3	objevily
4	český
5	trh
6	a
7	nalézají
8	u
9	sousedů
10	dokonce
11	výrobky
12	,
13	které
14	dříve
15	dovážely
16	i
17	z
18	jiných
19	kontinentů
20	,
21	pokračuje
22	Hofbauer
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Německé	ADJ	2	amod
2	firmy	NOUN	3	nsubj
3	objevily	VERB	0	root
4	český	ADJ	5	amod
5	trh	NOUN	3	obj
6	a	CCONJ	7	cc
7	nalézají	VERB	3	conj
8	u	ADP	9	case
9	sousedů	NOUN	7	obl
10	dokonce	ADV	11	advmod:emph
11	výrobky	NOUN	7	obj
12	,	PUNCT	15	punct
13	které	DET	15	obj
14	dříve	ADV	15	advmod
15	dovážely	VERB	11	acl:relcl
16	i	CCONJ	19	advmod:emph
17	z	ADP	19	case
18	jiných	ADJ	19	amod
19	kontinentů	NOUN	15	obl
20	,	PUNCT	21	punct
21	pokračuje	VERB	3	conj
22	Hofbauer	PROPN	21	nsubj
23	.	PUNCT	3	punct