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:
Ne zadarmo: letouny od Aera kupuje za 1.3 milionu dolarů a do Thajska je po vybavení avionikou prodává za téměř 5 milionů.
Postion	Tokenization
1	Ne
2	zadarmo
3	:
4	letouny
5	od
6	Aera
7	kupuje
8	za
9	1.3
10	milionu
11	dolarů
12	a
13	do
14	Thajska
15	je
16	po
17	vybavení
18	avionikou
19	prodává
20	za
21	téměř
22	5
23	milionů
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ne	PART	2	advmod:emph
2	zadarmo	ADV	0	root
3	:	PUNCT	7	punct
4	letouny	NOUN	7	obj
5	od	ADP	6	case
6	Aera	PROPN	4	nmod
7	kupuje	VERB	2	conj
8	za	ADP	10	case
9	1.3	NUM	10	nummod:gov
10	milionu	NOUN	7	obl
11	dolarů	NOUN	10	nmod
12	a	CCONJ	19	cc
13	do	ADP	14	case
14	Thajska	PROPN	19	obl
15	je	PRON	19	obj
16	po	ADP	17	case
17	vybavení	NOUN	19	obl
18	avionikou	NOUN	17	nmod
19	prodává	VERB	7	conj
20	za	ADP	23	case
21	téměř	ADV	22	advmod:emph
22	5	NUM	23	nummod:gov
23	milionů	NOUN	19	obl:arg
24	.	PUNCT	2	punct