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: Většina modelů předpovídá sucha a celkovou aridizaci, přesto existuje statisticky význačný trend směřující od aridizace ke zvyšování půdní vlhkosti, který se uplatňuje zvláště ve středu USA.
Position	Tokenization	UPOS	Head	Deprel
1	Většina	NOUN	3	nsubj
2	modelů	NOUN	1	nmod
3	předpovídá	VERB	0	root
4	sucha	NOUN	3	obj
5	a	CCONJ	7	cc
6	celkovou	ADJ	7	amod
7	aridizaci	NOUN	4	conj
8	,	PUNCT	10	punct
9	přesto	ADV	10	cc
10	existuje	VERB	3	conj
11	statisticky	ADV	12	advmod
12	význačný	ADJ	13	amod
13	trend	NOUN	10	nsubj
14	směřující	ADJ	13	amod
15	od	ADP	16	case
16	aridizace	NOUN	14	obl
17	ke	ADP	18	case
18	zvyšování	NOUN	14	obl
19	půdní	ADJ	20	amod
20	vlhkosti	NOUN	18	nmod
21	,	PUNCT	24	punct
22	který	DET	24	nsubj:pass
23	se	PRON	24	expl:pass
24	uplatňuje	VERB	13	acl:relcl
25	zvláště	ADV	27	advmod:emph
26	ve	ADP	27	case
27	středu	NOUN	24	obl
28	USA	PROPN	27	nmod
29	.	PUNCT	3	punct