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:
Po 300miliónové ztrátě, kterou společnost utrpěla v roce 1993, dosáhl vloni Svit při obratu 4 miliardy Kč zisku ve výši 13.5 miliónu korun.
Postion	Tokenization
1	Po
2	300
3	miliónové
4	ztrátě
5	,
6	kterou
7	společnost
8	utrpěla
9	v
10	roce
11	1993
12	,
13	dosáhl
14	vloni
15	Svit
16	při
17	obratu
18	4
19	miliardy
20	Kč
21	zisku
22	ve
23	výši
24	13.5
25	miliónu
26	korun
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	4	case
2	300	NUM	3	obl
3	miliónové	ADJ	4	amod
4	ztrátě	NOUN	13	obl
5	,	PUNCT	8	punct
6	kterou	DET	8	obj
7	společnost	NOUN	8	nsubj
8	utrpěla	VERB	4	acl:relcl
9	v	ADP	10	case
10	roce	NOUN	8	obl
11	1993	NUM	10	nummod
12	,	PUNCT	8	punct
13	dosáhl	VERB	0	root
14	vloni	ADV	13	advmod
15	Svit	NOUN	13	nsubj
16	při	ADP	17	case
17	obratu	NOUN	13	obl
18	4	NUM	19	nummod
19	miliardy	NOUN	17	nmod
20	Kč	NOUN	19	nmod
21	zisku	NOUN	13	obl:arg
22	ve	ADP	23	case
23	výši	NOUN	21	nmod
24	13.5	NUM	25	nummod:gov
25	miliónu	NOUN	23	nmod
26	korun	NOUN	25	nmod
27	.	PUNCT	13	punct