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: Od letošního roku firma počítá i s funkcí směnového předáka, protože zavádí provoz na dvě směny, aby zvládla požadavky zákazníků a v neposlední řadě lépe využila stroje, které nesnadno kupovala s využitím úvěrů.
Position	Tokenization	UPOS	Head	Deprel
1	Od	ADP	3	case
2	letošního	ADJ	3	amod
3	roku	NOUN	5	obl
4	firma	NOUN	5	nsubj
5	počítá	VERB	0	root
6	i	CCONJ	8	advmod:emph
7	s	ADP	8	case
8	funkcí	NOUN	5	obl:arg
9	směnového	ADJ	10	amod
10	předáka	NOUN	8	nmod
11	,	PUNCT	13	punct
12	protože	SCONJ	13	mark
13	zavádí	VERB	5	advcl
14	provoz	NOUN	13	obj
15	na	ADP	17	case
16	dvě	NUM	17	nummod
17	směny	NOUN	14	nmod
18	,	PUNCT	21	punct
19	aby	_	None	_
20	aby	SCONJ	21	mark
21	by	AUX	21	aux
22	zvládla	VERB	13	advcl
23	požadavky	NOUN	21	obj
24	zákazníků	NOUN	22	nmod
25	a	CCONJ	29	cc
26	v	ADP	27	case
27	neposlední	ADJ	27	amod
28	řadě	NOUN	29	obl
29	lépe	ADV	29	advmod
30	využila	VERB	21	conj
31	stroje	NOUN	29	obj
32	,	PUNCT	34	punct
33	které	DET	34	obj
34	nesnadno	ADV	34	advmod
35	kupovala	VERB	30	acl:relcl
36	s	ADP	36	case
37	využitím	NOUN	34	obl
38	úvěrů	NOUN	36	nmod
39	.	PUNCT	5	punct