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:
Podařilo se nám vstoupit do lepších firem, protože - a to bez výjimky - jsou ceny akcií podniků, kde máme kapitálovou účast, vyšší než oborové průměry.
Postion	Tokenization
1	Podařilo
2	se
3	nám
4	vstoupit
5	do
6	lepších
7	firem
8	,
9	protože
10	-
11	a
12	to
13	bez
14	výjimky
15	-
16	jsou
17	ceny
18	akcií
19	podniků
20	,
21	kde
22	máme
23	kapitálovou
24	účast
25	,
26	vyšší
27	než
28	oborové
29	průměry
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Podařilo	VERB	0	root
2	se	PRON	1	expl:pv
3	nám	PRON	1	obl:arg
4	vstoupit	VERB	1	csubj
5	do	ADP	7	case
6	lepších	ADJ	7	amod
7	firem	NOUN	4	obl
8	,	PUNCT	26	punct
9	protože	SCONJ	26	mark
10	-	PUNCT	14	punct
11	a	CCONJ	14	cc
12	to	PART	11	fixed
13	bez	ADP	14	case
14	výjimky	NOUN	26	obl
15	-	PUNCT	14	punct
16	jsou	AUX	26	cop
17	ceny	NOUN	26	nsubj
18	akcií	NOUN	17	nmod
19	podniků	NOUN	18	nmod
20	,	PUNCT	22	punct
21	kde	ADV	22	advmod
22	máme	VERB	19	acl:relcl
23	kapitálovou	ADJ	24	amod
24	účast	NOUN	22	obj
25	,	PUNCT	22	punct
26	vyšší	ADJ	1	advcl
27	než	SCONJ	29	mark
28	oborové	ADJ	29	amod
29	průměry	NOUN	26	advcl
30	.	PUNCT	1	punct