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: Konstatoval rovněž, že jakýkoliv vládní program, který nebere v úvahu rozdíly mezi více a méně zadluženými podniky, může podle bankéřových slov poškodit efektivnější firmy, které by byly schopny snížit své závazky vlastní iniciativou.
Position	Tokenization	UPOS	Head	Deprel
1	Konstatoval	VERB	0	root
2	rovněž	ADV	1	advmod
3	,	PUNCT	21	punct
4	že	SCONJ	21	mark
5	jakýkoliv	DET	7	det
6	vládní	ADJ	7	amod
7	program	NOUN	21	nsubj
8	,	PUNCT	10	punct
9	který	DET	10	nsubj
10	nebere	VERB	7	acl:relcl
11	v	ADP	12	case
12	úvahu	NOUN	10	obl:arg
13	rozdíly	NOUN	10	obj
14	mezi	ADP	19	case
15	více	ADV	18	advmod
16	a	CCONJ	17	cc
17	méně	ADV	15	conj
18	zadluženými	ADJ	19	amod
19	podniky	NOUN	13	nmod
20	,	PUNCT	10	punct
21	může	VERB	1	ccomp
22	podle	ADP	24	case
23	bankéřových	ADJ	24	amod
24	slov	NOUN	25	obl
25	poškodit	VERB	21	xcomp
26	efektivnější	ADJ	27	amod
27	firmy	NOUN	25	obj
28	,	PUNCT	32	punct
29	které	DET	32	nsubj
30	by	AUX	32	aux
31	byly	AUX	32	cop
32	schopny	ADJ	27	acl:relcl
33	snížit	VERB	32	xcomp
34	své	DET	35	det
35	závazky	NOUN	33	obj
36	vlastní	ADJ	37	amod
37	iniciativou	NOUN	33	obl
38	.	PUNCT	1	punct