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:
Hrubý zisk akciové společnosti Elektro-Praga Hlinsko by měl za loňský rok dosáhnout 51 miliónů korun, což proti roku 1993 představuje pokles o 68 procent.
Postion	Tokenization
1	Hrubý
2	zisk
3	akciové
4	společnosti
5	Elektro
6	-
7	Praga
8	Hlinsko
9	by
10	měl
11	za
12	loňský
13	rok
14	dosáhnout
15	51
16	miliónů
17	korun
18	,
19	což
20	proti
21	roku
22	1993
23	představuje
24	pokles
25	o
26	68
27	procent
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hrubý	ADJ	2	amod
2	zisk	NOUN	10	nsubj
3	akciové	ADJ	4	amod
4	společnosti	NOUN	2	nmod
5	Elektro	ADJ	7	amod
6	-	PUNCT	7	punct
7	Praga	PROPN	4	nmod
8	Hlinsko	PROPN	7	nmod
9	by	AUX	10	aux
10	měl	VERB	0	root
11	za	ADP	13	case
12	loňský	ADJ	13	amod
13	rok	NOUN	10	obl
14	dosáhnout	VERB	10	xcomp
15	51	NUM	16	nummod
16	miliónů	NOUN	14	obl:arg
17	korun	NOUN	16	nmod
18	,	PUNCT	23	punct
19	což	PRON	23	nsubj
20	proti	ADP	21	case
21	roku	NOUN	23	obl
22	1993	NUM	21	nummod
23	představuje	VERB	10	conj
24	pokles	NOUN	23	obj
25	o	ADP	27	case
26	68	NUM	27	nummod:gov
27	procent	NOUN	24	nmod
28	.	PUNCT	10	punct