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: Dluhy těchto podniků dosahují částky 140 miliard Ft (40 miliard korun), a například v září t. r. bude zapotřebí ke zvýšení starobních důchodů částky 29 miliard Ft (290 milionů USD), která bude uhrazena ze státního rozpočtu.
Position	Tokenization	UPOS	Head	Deprel
1	Dluhy	NOUN	4	nsubj
2	těchto	DET	3	det
3	podniků	NOUN	1	nmod
4	dosahují	VERB	0	root
5	částky	NOUN	4	obl:arg
6	140	NUM	7	nummod
7	miliard	NOUN	5	nmod
8	Ft	NOUN	7	nmod
9	(	PUNCT	11	punct
10	40	NUM	11	nummod
11	miliard	NOUN	7	appos
12	korun	NOUN	11	nmod
13	)	PUNCT	11	punct
14	,	PUNCT	24	punct
15	a	CCONJ	24	cc
16	například	ADV	18	advmod:emph
17	v	ADP	18	case
18	září	NOUN	24	obl
19	t	DET	21	det
20	.	PUNCT	19	punct
21	r	NOUN	18	nmod
22	.	PUNCT	21	punct
23	bude	AUX	24	cop
24	zapotřebí	ADV	4	conj
25	ke	ADP	26	case
26	zvýšení	NOUN	24	obl
27	starobních	ADJ	28	amod
28	důchodů	NOUN	26	nmod
29	částky	NOUN	24	nsubj
30	29	NUM	31	nummod:gov
31	miliard	NOUN	29	nmod
32	Ft	NOUN	31	nmod
33	(	PUNCT	35	punct
34	290	NUM	35	nummod:gov
35	milionů	NOUN	30	appos
36	USD	NOUN	35	nmod
37	)	PUNCT	35	punct
38	,	PUNCT	41	punct
39	která	DET	41	nsubj:pass
40	bude	AUX	41	aux:pass
41	uhrazena	ADJ	29	amod
42	ze	ADP	44	case
43	státního	ADJ	44	amod
44	rozpočtu	NOUN	41	obl
45	.	PUNCT	4	punct