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:
Od prvopočátku se činili i nejrůznější "exportéři", díky jimž zmizelo - podle odhadu odborníků - v roce 1990 v cizině za miliardu korun našich památek.
Postion	Tokenization
1	Od
2	prvopočátku
3	se
4	činili
5	i
6	nejrůznější
7	"
8	exportéři
9	"
10	,
11	díky
12	jimž
13	zmizelo
14	-
15	podle
16	odhadu
17	odborníků
18	-
19	v
20	roce
21	1990
22	v
23	cizině
24	za
25	miliardu
26	korun
27	našich
28	památek
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	2	case
2	prvopočátku	NOUN	4	obl
3	se	PRON	4	expl:pv
4	činili	VERB	0	root
5	i	CCONJ	8	advmod:emph
6	nejrůznější	ADJ	8	amod
7	"	PUNCT	8	punct
8	exportéři	NOUN	4	nsubj
9	"	PUNCT	8	punct
10	,	PUNCT	13	punct
11	díky	ADP	12	case
12	jimž	PRON	13	obl
13	zmizelo	VERB	8	acl:relcl
14	-	PUNCT	16	punct
15	podle	ADP	16	case
16	odhadu	NOUN	13	obl
17	odborníků	NOUN	16	nmod
18	-	PUNCT	16	punct
19	v	ADP	20	case
20	roce	NOUN	13	obl
21	1990	NUM	20	nummod
22	v	ADP	23	case
23	cizině	NOUN	13	obl
24	za	ADP	25	case
25	miliardu	NOUN	28	nmod
26	korun	NOUN	25	nmod
27	našich	DET	28	det
28	památek	NOUN	13	obl:arg
29	.	PUNCT	4	punct