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:
Místo očekávaného vysokého zisku, podle některých optimistů až 30 miliónů korun, musí Čs. hokejová federace čelit hrozbě pětimiliónového pasíva z pražského mistrovství světa.
Postion	Tokenization
1	Místo
2	očekávaného
3	vysokého
4	zisku
5	,
6	podle
7	některých
8	optimistů
9	až
10	30
11	miliónů
12	korun
13	,
14	musí
15	Čs
16	.
17	hokejová
18	federace
19	čelit
20	hrozbě
21	pětimiliónového
22	pasíva
23	z
24	pražského
25	mistrovství
26	světa
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Místo	ADP	4	case
2	očekávaného	ADJ	4	amod
3	vysokého	ADJ	4	amod
4	zisku	NOUN	14	obl
5	,	PUNCT	10	punct
6	podle	ADP	8	case
7	některých	DET	8	det
8	optimistů	NOUN	10	obl
9	až	PART	10	advmod:emph
10	30	NUM	11	nummod:gov
11	miliónů	NOUN	4	appos
12	korun	NOUN	11	nmod
13	,	PUNCT	4	punct
14	musí	VERB	0	root
15	Čs	ADJ	18	amod
16	.	PUNCT	15	punct
17	hokejová	ADJ	18	amod
18	federace	NOUN	14	nsubj
19	čelit	VERB	14	xcomp
20	hrozbě	NOUN	19	obl:arg
21	pětimiliónového	ADJ	22	amod
22	pasíva	NOUN	20	nmod
23	z	ADP	25	case
24	pražského	ADJ	25	amod
25	mistrovství	NOUN	22	nmod
26	světa	NOUN	25	nmod
27	.	PUNCT	14	punct