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:
Zloději kradli automobily a prostřednictvím šesti stálých překupníků je prodávali do autobazarů (například v Karlových Varech), dvě vozidla dokonce vyvezli a prodali v SRN.
Postion	Tokenization
1	Zloději
2	kradli
3	automobily
4	a
5	prostřednictvím
6	šesti
7	stálých
8	překupníků
9	je
10	prodávali
11	do
12	autobazarů
13	(
14	například
15	v
16	Karlových
17	Varech
18	)
19	,
20	dvě
21	vozidla
22	dokonce
23	vyvezli
24	a
25	prodali
26	v
27	SRN
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zloději	NOUN	2	nsubj
2	kradli	VERB	0	root
3	automobily	NOUN	2	obj
4	a	CCONJ	10	cc
5	prostřednictvím	NOUN	8	case
6	šesti	NUM	8	nummod
7	stálých	ADJ	8	amod
8	překupníků	NOUN	10	obl
9	je	PRON	10	obj
10	prodávali	VERB	2	conj
11	do	ADP	12	case
12	autobazarů	NOUN	10	obl
13	(	PUNCT	17	punct
14	například	ADV	17	advmod:emph
15	v	ADP	17	case
16	Karlových	ADJ	17	amod
17	Varech	PROPN	12	nmod
18	)	PUNCT	17	punct
19	,	PUNCT	23	punct
20	dvě	NUM	21	nummod
21	vozidla	NOUN	23	obj
22	dokonce	ADV	23	advmod:emph
23	vyvezli	VERB	2	conj
24	a	CCONJ	25	cc
25	prodali	VERB	23	conj
26	v	ADP	27	case
27	SRN	PROPN	25	obl
28	.	PUNCT	2	punct