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: Pokud budeme postupovat stejnou metodikou, jako je propočten fond pracovní doby v Německu (čistý, s vyloučením přestávky na oběd a na dovolenou), bude srovnatelný údaj činit nikoliv uvedených 2142, ale pouze 1848 hodin.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	3	mark
2	budeme	AUX	3	aux
3	postupovat	VERB	31	advcl
4	stejnou	ADJ	5	amod
5	metodikou	NOUN	3	obl
6	,	PUNCT	9	punct
7	jako	SCONJ	9	mark
8	je	AUX	9	aux:pass
9	propočten	ADJ	4	obl
10	fond	NOUN	9	nsubj:pass
11	pracovní	ADJ	12	amod
12	doby	NOUN	10	nmod
13	v	ADP	14	case
14	Německu	PROPN	12	nmod
15	(	PUNCT	16	punct
16	čistý	ADJ	10	amod
17	,	PUNCT	19	punct
18	s	ADP	19	case
19	vyloučením	NOUN	16	obl
20	přestávky	NOUN	19	nmod
21	na	ADP	22	case
22	oběd	NOUN	20	nmod
23	a	CCONJ	25	cc
24	na	ADP	25	case
25	dovolenou	NOUN	22	conj
26	)	PUNCT	16	punct
27	,	PUNCT	3	punct
28	bude	AUX	31	aux
29	srovnatelný	ADJ	30	amod
30	údaj	NOUN	31	nsubj
31	činit	VERB	0	root
32	nikoliv	ADV	34	advmod:emph
33	uvedených	ADJ	34	amod
34	2142	NUM	31	obj
35	,	PUNCT	39	punct
36	ale	CCONJ	39	cc
37	pouze	ADV	38	advmod:emph
38	1848	NUM	39	nummod:gov
39	hodin	NOUN	34	conj
40	.	PUNCT	31	punct