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:
Samozřejmě, že na Západě dává stát zemědělcům daleko více peněz než u nás (alespoň v absolutních číslech), ale nebude tomu tak navždy.
Postion	Tokenization
1	Samozřejmě
2	_
3	,
4	že
5	na
6	Západě
7	dává
8	stát
9	zemědělcům
10	daleko
11	více
12	peněz
13	než
14	u
15	nás
16	(
17	alespoň
18	v
19	absolutních
20	číslech
21	)
22	,
23	ale
24	nebude
25	tomu
26	tak
27	navždy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Samozřejmě	ADV	0	root
2	_	_	None	_
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	na	ADP	5	case
6	Západě	NOUN	6	obl
7	dává	VERB	1	conj
8	stát	NOUN	6	nsubj
9	zemědělcům	NOUN	6	obl:arg
10	daleko	ADV	10	advmod
11	více	ADV	6	obj
12	peněz	NOUN	10	nmod
13	než	SCONJ	14	mark
14	u	ADP	14	case
15	nás	PRON	10	dep
16	(	PUNCT	19	punct
17	alespoň	ADV	19	advmod:emph
18	v	ADP	19	case
19	absolutních	ADJ	19	amod
20	číslech	NOUN	10	obl
21	)	PUNCT	19	punct
22	,	PUNCT	6	punct
23	ale	CCONJ	6	cc
24	nebude	VERB	6	orphan
25	tomu	DET	23	nsubj
26	tak	ADV	23	advmod
27	navždy	ADV	23	advmod
28	.	PUNCT	1	punct