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:
S hrubým ziskem 33 miliónů Kč skončila loňské hospodaření radotínská vzduchotechnická firma Janka, když ještě loni zaznamenala ztrátu 121 miliónů Kč.
Postion	Tokenization
1	S
2	hrubým
3	ziskem
4	33
5	miliónů
6	Kč
7	skončila
8	loňské
9	hospodaření
10	radotínská
11	vzduchotechnická
12	firma
13	Janka
14	,
15	když
16	ještě
17	loni
18	zaznamenala
19	ztrátu
20	121
21	miliónů
22	Kč
23	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	3	case
2	hrubým	ADJ	3	amod
3	ziskem	NOUN	7	obl
4	33	NUM	5	nummod:gov
5	miliónů	NOUN	3	nmod
6	Kč	NOUN	5	nmod
7	skončila	VERB	0	root
8	loňské	ADJ	9	amod
9	hospodaření	NOUN	7	obj
10	radotínská	ADJ	12	amod
11	vzduchotechnická	ADJ	12	amod
12	firma	NOUN	7	nsubj
13	Janka	PROPN	12	nmod
14	,	PUNCT	18	punct
15	když	SCONJ	18	mark
16	ještě	ADV	17	advmod:emph
17	loni	ADV	18	advmod
18	zaznamenala	VERB	7	advcl
19	ztrátu	NOUN	18	obj
20	121	NUM	21	nummod:gov
21	miliónů	NOUN	19	nmod
22	Kč	NOUN	21	nmod
23	.	PUNCT	7	punct