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:
Americká společnost Boeing, největší výrobce dopravních letadel na světě, zveřejnila studii o dalším rozvoji nákladní letecké dopravy v příštích 20 letech, to je do roku 2013.
Postion	Tokenization
1	Americká
2	společnost
3	Boeing
4	,
5	největší
6	výrobce
7	dopravních
8	letadel
9	na
10	světě
11	,
12	zveřejnila
13	studii
14	o
15	dalším
16	rozvoji
17	nákladní
18	letecké
19	dopravy
20	v
21	příštích
22	20
23	letech
24	,
25	to
26	je
27	do
28	roku
29	2013
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Americká	ADJ	2	amod
2	společnost	NOUN	12	nsubj
3	Boeing	PROPN	2	nmod
4	,	PUNCT	6	punct
5	největší	ADJ	6	amod
6	výrobce	NOUN	2	appos
7	dopravních	ADJ	8	amod
8	letadel	NOUN	6	nmod
9	na	ADP	10	case
10	světě	NOUN	5	obl
11	,	PUNCT	6	punct
12	zveřejnila	VERB	0	root
13	studii	NOUN	12	obj
14	o	ADP	16	case
15	dalším	ADJ	16	amod
16	rozvoji	NOUN	13	nmod
17	nákladní	ADJ	19	amod
18	letecké	ADJ	19	amod
19	dopravy	NOUN	16	nmod
20	v	ADP	23	case
21	příštích	ADJ	23	amod
22	20	NUM	23	nummod
23	letech	NOUN	16	nmod
24	,	PUNCT	28	punct
25	to	DET	28	cc
26	je	VERB	25	fixed
27	do	ADP	28	case
28	roku	NOUN	23	appos
29	2013	NUM	28	nummod
30	.	PUNCT	12	punct