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:
Ten se svým konečným počtem 538 vystavovatelů a celkovou plochou 16000 m2 stal podle tvrzení ředitele Jiřího Švigy z pořadatelské organizace Terinvest druhým největším pražským veletrhem.
Postion	Tokenization
1	Ten
2	se
3	svým
4	konečným
5	počtem
6	538
7	vystavovatelů
8	a
9	celkovou
10	plochou
11	16000
12	m
13	2
14	stal
15	podle
16	tvrzení
17	ředitele
18	Jiřího
19	Švigy
20	z
21	pořadatelské
22	organizace
23	Terinvest
24	druhým
25	největším
26	pražským
27	veletrhem
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ten	DET	14	nsubj
2	se	PRON	14	expl:pv
3	svým	DET	5	det
4	konečným	ADJ	5	amod
5	počtem	NOUN	14	obl
6	538	NUM	7	nummod:gov
7	vystavovatelů	NOUN	5	nmod
8	a	CCONJ	10	cc
9	celkovou	ADJ	10	amod
10	plochou	NOUN	5	conj
11	16000	NUM	10	nummod
12	m	NOUN	11	nmod
13	2	NUM	12	nummod
14	stal	VERB	0	root
15	podle	ADP	16	case
16	tvrzení	NOUN	14	obl
17	ředitele	NOUN	16	nmod
18	Jiřího	PROPN	17	flat
19	Švigy	PROPN	17	flat
20	z	ADP	22	case
21	pořadatelské	ADJ	22	amod
22	organizace	NOUN	17	nmod
23	Terinvest	PROPN	22	nmod
24	druhým	ADJ	27	amod
25	největším	ADJ	27	amod
26	pražským	ADJ	27	amod
27	veletrhem	NOUN	14	obl:arg
28	.	PUNCT	14	punct