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 text: Růst letecké nákladní dopravy vyvolá zvýšenou poptávku po nákladních letadlech, a Boeing proto očekává, že v příštích dvaceti letech jich prodá nejméně 600, a to pouze pro civilní účely.
Position	Tokenization	UPOS	Head	Deprel
1	Růst	NOUN	5	nsubj
2	letecké	ADJ	4	amod
3	nákladní	ADJ	4	amod
4	dopravy	NOUN	1	nmod
5	vyvolá	VERB	0	root
6	zvýšenou	ADJ	7	amod
7	poptávku	NOUN	5	obj
8	po	ADP	10	case
9	nákladních	ADJ	10	amod
10	letadlech	NOUN	7	nmod
11	,	PUNCT	15	punct
12	a	CCONJ	15	cc
13	Boeing	PROPN	15	nsubj
14	proto	CCONJ	15	cc
15	očekává	VERB	5	conj
16	,	PUNCT	23	punct
17	že	SCONJ	23	mark
18	v	ADP	21	case
19	příštích	ADJ	21	amod
20	dvaceti	NUM	21	nummod
21	letech	NOUN	23	obl
22	jich	PRON	23	obj
23	prodá	VERB	15	ccomp
24	nejméně	ADV	25	advmod:emph
25	600	NUM	22	nummod:gov
26	,	PUNCT	32	punct
27	a	CCONJ	32	cc
28	to	PART	27	fixed
29	pouze	ADV	32	advmod:emph
30	pro	ADP	32	case
31	civilní	ADJ	32	amod
32	účely	NOUN	23	obl
33	.	PUNCT	5	punct