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: Předpokládají totiž, že restriktivní hospodářská politika, směřující v Polsku ke snížení vysoké míry inflace a v Maďarsku k překonání deficitu běžného účtu, vyplývajícího především ze schodkové obchodní bilance, povede ke zpomalení růstu.
Position	Tokenization	UPOS	Head	Deprel
1	Předpokládají	VERB	0	root
2	totiž	ADV	1	advmod
3	,	PUNCT	33	punct
4	že	SCONJ	33	mark
5	restriktivní	ADJ	7	amod
6	hospodářská	ADJ	7	amod
7	politika	NOUN	33	nsubj
8	,	PUNCT	9	punct
9	směřující	ADJ	7	amod
10	v	ADP	11	case
11	Polsku	PROPN	9	obl
12	ke	ADP	13	case
13	snížení	NOUN	9	obl
14	vysoké	ADJ	15	amod
15	míry	NOUN	13	nmod
16	inflace	NOUN	15	nmod
17	_	_	None	_
18	a	CCONJ	19	cc
19	v	ADP	19	case
20	Maďarsku	PROPN	9	conj
21	k	ADP	21	case
22	překonání	NOUN	19	orphan
23	deficitu	NOUN	21	nmod
24	běžného	ADJ	24	amod
25	účtu	NOUN	22	nmod
26	,	PUNCT	26	punct
27	vyplývajícího	ADJ	24	amod
28	především	ADV	31	advmod:emph
29	ze	ADP	31	case
30	schodkové	ADJ	31	amod
31	obchodní	ADJ	31	amod
32	bilance	NOUN	26	obl:arg
33	,	PUNCT	26	punct
34	povede	VERB	1	ccomp
35	ke	ADP	35	case
36	zpomalení	NOUN	33	obl
37	růstu	NOUN	35	nmod
38	.	PUNCT	1	punct