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: Inflace se bojí zejména proto, že ji umí zastavit jedině razantním zásahem do rozpočtové a měnové politiky, zásahem, který působí směrem k poklesu výroby a k vzestupu nezaměstnanosti.
Position	Tokenization	UPOS	Head	Deprel
1	Inflace	NOUN	3	obl:arg
2	se	PRON	3	expl:pv
3	bojí	VERB	0	root
4	zejména	ADV	5	advmod:emph
5	proto	ADV	3	advmod
6	,	PUNCT	9	punct
7	že	SCONJ	9	mark
8	ji	PRON	10	obj
9	umí	VERB	3	advcl
10	zastavit	VERB	9	xcomp
11	jedině	ADV	13	advmod:emph
12	razantním	ADJ	13	amod
13	zásahem	NOUN	10	obl
14	do	ADP	18	case
15	rozpočtové	ADJ	18	amod
16	a	CCONJ	17	cc
17	měnové	ADJ	15	conj
18	politiky	NOUN	13	nmod
19	,	PUNCT	20	punct
20	zásahem	NOUN	13	appos
21	,	PUNCT	23	punct
22	který	DET	23	nsubj
23	působí	VERB	20	acl:relcl
24	směrem	NOUN	23	obl
25	k	ADP	26	case
26	poklesu	NOUN	24	nmod
27	výroby	NOUN	26	nmod
28	a	CCONJ	30	cc
29	k	ADP	30	case
30	vzestupu	NOUN	26	conj
31	nezaměstnanosti	NOUN	30	nmod
32	.	PUNCT	3	punct