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 text: S problémem stanovení zaváděcích cen ostatních emisí se burza vypořádala pomocí algoritmu, který vzal v úvahu poměr nabídky a poptávky v kupónové privatizaci, dále celkový vývoj toho kterého průmyslového odvětví, a také reálnou situaci na trhu.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	problémem	NOUN	10	obl:arg
3	stanovení	NOUN	2	nmod
4	zaváděcích	ADJ	5	amod
5	cen	NOUN	3	nmod
6	ostatních	ADJ	7	amod
7	emisí	NOUN	5	nmod
8	se	PRON	10	expl:pv
9	burza	NOUN	10	nsubj
10	vypořádala	VERB	0	root
11	pomocí	ADP	12	case
12	algoritmu	NOUN	10	obl
13	,	PUNCT	15	punct
14	který	DET	15	nsubj
15	vzal	VERB	12	acl:relcl
16	v	ADP	17	case
17	úvahu	NOUN	15	obl:arg
18	poměr	NOUN	17	nmod
19	nabídky	NOUN	18	nmod
20	a	CCONJ	21	cc
21	poptávky	NOUN	19	conj
22	v	ADP	24	case
23	kupónové	ADJ	24	amod
24	privatizaci	NOUN	18	nmod
25	_	_	None	_
26	,	PUNCT	26	punct
27	dále	ADV	15	conj
28	celkový	ADJ	28	amod
29	vývoj	NOUN	26	orphan
30	toho	DET	32	det
31	kterého	DET	32	det
32	průmyslového	ADJ	32	amod
33	odvětví	NOUN	28	nmod
34	,	PUNCT	26	punct
35	a	CCONJ	26	cc
36	také	ADV	26	orphan
37	reálnou	ADJ	37	amod
38	situaci	NOUN	26	orphan
39	na	ADP	39	case
40	trhu	NOUN	37	nmod
41	.	PUNCT	10	punct