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:
Celkové statistiky vylepšují návštěvníci hor z Polska a Maďarska, kteří přijíždějí v zimě lyžovat a zůstávají v SR na čtyři až osm dní.
Postion	Tokenization
1	Celkové
2	statistiky
3	vylepšují
4	návštěvníci
5	hor
6	z
7	Polska
8	a
9	Maďarska
10	,
11	kteří
12	přijíždějí
13	v
14	zimě
15	lyžovat
16	a
17	zůstávají
18	v
19	SR
20	na
21	čtyři
22	až
23	osm
24	dní
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Celkové	ADJ	2	amod
2	statistiky	NOUN	3	obj
3	vylepšují	VERB	0	root
4	návštěvníci	NOUN	3	nsubj
5	hor	NOUN	4	nmod
6	z	ADP	7	case
7	Polska	PROPN	4	nmod
8	a	CCONJ	9	cc
9	Maďarska	PROPN	7	conj
10	,	PUNCT	12	punct
11	kteří	DET	12	nsubj
12	přijíždějí	VERB	4	acl:relcl
13	v	ADP	14	case
14	zimě	NOUN	12	obl
15	lyžovat	VERB	12	advcl
16	a	CCONJ	17	cc
17	zůstávají	VERB	12	conj
18	v	ADP	19	case
19	SR	PROPN	17	obl
20	na	ADP	24	case
21	čtyři	NUM	24	nummod:gov
22	až	CCONJ	23	cc
23	osm	NUM	21	conj
24	dní	NOUN	17	obl
25	.	PUNCT	3	punct