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:
Loňské hospodaření kopřivnické automobilky skončilo ztrátou dvě miliardy 258 milionů Kč, letošní ztráta je předpokládána ve výši 1.3 miliardy Kč.
Postion	Tokenization
1	Loňské
2	hospodaření
3	kopřivnické
4	automobilky
5	skončilo
6	ztrátou
7	dvě
8	miliardy
9	258
10	milionů
11	Kč
12	,
13	letošní
14	ztráta
15	je
16	předpokládána
17	ve
18	výši
19	1.3
20	miliardy
21	Kč
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Loňské	ADJ	2	amod
2	hospodaření	NOUN	5	nsubj
3	kopřivnické	ADJ	4	amod
4	automobilky	NOUN	2	nmod
5	skončilo	VERB	0	root
6	ztrátou	NOUN	5	obl
7	dvě	NUM	8	nummod
8	miliardy	NOUN	6	nmod
9	258	NUM	10	nummod:gov
10	milionů	NOUN	8	nmod
11	Kč	NOUN	10	nmod
12	,	PUNCT	16	punct
13	letošní	ADJ	14	amod
14	ztráta	NOUN	16	nsubj:pass
15	je	AUX	16	aux:pass
16	předpokládána	ADJ	5	conj
17	ve	ADP	18	case
18	výši	NOUN	16	obl
19	1.3	NUM	20	nummod:gov
20	miliardy	NOUN	18	nmod
21	Kč	NOUN	20	nmod
22	.	PUNCT	5	punct