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:
Nižší reálná hodnota příjmů měla za následek i nižší reálnou hodnotu výdajů, nominální růst většiny výdajových položek byl výsledkem růstu cen, nikoli spotřeby.
Postion	Tokenization
1	Nižší
2	reálná
3	hodnota
4	příjmů
5	měla
6	za
7	následek
8	i
9	nižší
10	reálnou
11	hodnotu
12	výdajů
13	,
14	nominální
15	růst
16	většiny
17	výdajových
18	položek
19	byl
20	výsledkem
21	růstu
22	cen
23	,
24	nikoli
25	spotřeby
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Nižší	ADJ	3	amod
2	reálná	ADJ	3	amod
3	hodnota	NOUN	5	nsubj
4	příjmů	NOUN	3	nmod
5	měla	VERB	0	root
6	za	ADP	7	case
7	následek	NOUN	5	obl:arg
8	i	CCONJ	11	advmod:emph
9	nižší	ADJ	11	amod
10	reálnou	ADJ	11	amod
11	hodnotu	NOUN	5	obj
12	výdajů	NOUN	11	nmod
13	,	PUNCT	20	punct
14	nominální	ADJ	15	amod
15	růst	NOUN	20	nsubj
16	většiny	NOUN	15	nmod
17	výdajových	ADJ	18	amod
18	položek	NOUN	16	nmod
19	byl	AUX	20	cop
20	výsledkem	NOUN	5	conj
21	růstu	NOUN	20	nmod
22	cen	NOUN	21	nmod
23	,	PUNCT	25	punct
24	nikoli	ADV	25	advmod:emph
25	spotřeby	NOUN	21	conj
26	.	PUNCT	5	punct