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:
Očekává se, že se studentských her zúčastní 5100 sportovců a 1000 funkcionářů ze 135 zemí, akademická vesnice však má jen 4570 míst.
Postion	Tokenization
1	Očekává
2	se
3	,
4	že
5	se
6	studentských
7	her
8	zúčastní
9	5100
10	sportovců
11	a
12	1000
13	funkcionářů
14	ze
15	135
16	zemí
17	,
18	akademická
19	vesnice
20	však
21	má
22	jen
23	4570
24	míst
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Očekává	VERB	0	root
2	se	PRON	1	expl:pass
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	se	PRON	8	expl:pv
6	studentských	ADJ	7	amod
7	her	NOUN	8	obl:arg
8	zúčastní	VERB	1	csubj:pass
9	5100	NUM	10	nummod:gov
10	sportovců	NOUN	8	nsubj
11	a	CCONJ	13	cc
12	1000	NUM	13	nummod:gov
13	funkcionářů	NOUN	10	conj
14	ze	ADP	16	case
15	135	NUM	16	nummod
16	zemí	NOUN	10	nmod
17	,	PUNCT	21	punct
18	akademická	ADJ	19	amod
19	vesnice	NOUN	21	nsubj
20	však	CCONJ	21	cc
21	má	VERB	1	conj
22	jen	PART	23	advmod:emph
23	4570	NUM	24	nummod:gov
24	míst	NOUN	21	obj
25	.	PUNCT	1	punct