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: Podle nich, jelikož jsem na prosinec a další měsíce o snížení nepožádal, musím doplatit pojistné v nesnížené výši a ještě penále z prodlení navíc, ačkoli mi podle daňového přiznání tentýž úřad dluží přes pět tisíc!
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	nich	PRON	15	obl
3	,	PUNCT	13	punct
4	jelikož	SCONJ	13	mark
5	jsem	AUX	13	aux
6	na	ADP	7	case
7	prosinec	NOUN	13	obl
8	a	CCONJ	10	cc
9	další	ADJ	10	amod
10	měsíce	NOUN	7	conj
11	o	ADP	12	case
12	snížení	NOUN	13	obl:arg
13	nepožádal	VERB	15	advcl
14	,	PUNCT	13	punct
15	musím	VERB	0	root
16	doplatit	VERB	15	xcomp
17	pojistné	NOUN	16	obj
18	v	ADP	20	case
19	nesnížené	ADJ	20	amod
20	výši	NOUN	17	nmod
21	a	CCONJ	23	cc
22	ještě	ADV	23	advmod:emph
23	penále	NOUN	17	conj
24	z	ADP	25	case
25	prodlení	NOUN	23	nmod
26	navíc	ADV	16	advmod
27	,	PUNCT	35	punct
28	ačkoli	SCONJ	35	mark
29	mi	PRON	35	obl:arg
30	podle	ADP	32	case
31	daňového	ADJ	32	amod
32	přiznání	NOUN	35	obl
33	tentýž	DET	34	det
34	úřad	NOUN	35	nsubj
35	dluží	VERB	15	advcl
36	přes	ADP	37	case
37	pět	NUM	35	obl:arg
38	tisíc	NOUN	37	nmod
39	!	PUNCT	15	punct