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: Soukromá spotřeba, podporována rychlejším růstem reálných mezd a jiných příjmů domácností, by mohla růst o něco rychleji než HDP, kdežto růst reálné veřejné spotřeby by měl být naopak pomalejší.
Position	Tokenization	UPOS	Head	Deprel
1	Soukromá	ADJ	2	amod
2	spotřeba	NOUN	15	nsubj
3	,	PUNCT	4	punct
4	podporována	ADJ	2	amod
5	rychlejším	ADJ	6	amod
6	růstem	NOUN	4	obl:arg
7	reálných	ADJ	8	amod
8	mezd	NOUN	6	nmod
9	a	CCONJ	11	cc
10	jiných	ADJ	11	amod
11	příjmů	NOUN	8	conj
12	domácností	NOUN	11	nmod
13	,	PUNCT	4	punct
14	by	AUX	15	aux
15	mohla	VERB	0	root
16	růst	VERB	15	xcomp
17	o	ADP	18	case
18	něco	PRON	19	obl
19	rychleji	ADV	16	advmod
20	než	SCONJ	21	mark
21	HDP	NOUN	19	advcl
22	,	PUNCT	29	punct
23	kdežto	CCONJ	29	mark
24	růst	NOUN	29	nsubj
25	reálné	ADJ	27	amod
26	veřejné	ADJ	27	amod
27	spotřeby	NOUN	24	nmod
28	by	AUX	29	aux
29	měl	VERB	15	advcl
30	být	AUX	32	cop
31	naopak	ADV	32	advmod
32	pomalejší	ADJ	29	xcomp
33	.	PUNCT	15	punct