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:
K českému mimoburzovnímu trhu se přidává i rakouský, který je údajně dvakrát až třikrát větší než na pražské burze a podle některých odhadů dosahuje denní výše až 100 milionů korun.
Postion	Tokenization
1	K
2	českému
3	mimoburzovnímu
4	trhu
5	se
6	přidává
7	i
8	rakouský
9	,
10	který
11	je
12	údajně
13	dvakrát
14	až
15	třikrát
16	větší
17	než
18	na
19	pražské
20	burze
21	a
22	podle
23	některých
24	odhadů
25	dosahuje
26	denní
27	výše
28	až
29	100
30	milionů
31	korun
32	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	4	case
2	českému	ADJ	4	amod
3	mimoburzovnímu	ADJ	4	amod
4	trhu	NOUN	6	obl
5	se	PRON	6	expl:pass
6	přidává	VERB	0	root
7	i	CCONJ	8	advmod:emph
8	rakouský	ADJ	6	dep
9	,	PUNCT	16	punct
10	který	DET	16	nsubj
11	je	AUX	16	cop
12	údajně	ADV	16	advmod
13	dvakrát	ADV	16	obl
14	až	CCONJ	15	cc
15	třikrát	ADV	13	conj
16	větší	ADJ	6	dep
17	než	SCONJ	20	mark
18	na	ADP	20	case
19	pražské	ADJ	20	amod
20	burze	NOUN	16	dep
21	a	CCONJ	25	cc
22	podle	ADP	24	case
23	některých	DET	24	det
24	odhadů	NOUN	25	obl
25	dosahuje	VERB	16	conj
26	denní	ADJ	27	amod
27	výše	NOUN	25	obl:arg
28	až	PART	29	advmod:emph
29	100	NUM	30	nummod:gov
30	milionů	NOUN	27	nmod
31	korun	NOUN	30	nmod
32	.	PUNCT	6	punct