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: Stalo se to v situaci, kdy dluhy tohoto výrobce nákladních automobilů dosáhly výše 3.75 miliardy korun, pro nedostatek provozního kapitálu se opakovaně přerušovala výroba a objevovaly se i úvahy o bankrotu této firmy s vynikající tradicí.
Position	Tokenization	UPOS	Head	Deprel
1	Stalo	VERB	0	root
2	se	PRON	1	expl:pv
3	to	DET	1	nsubj
4	v	ADP	5	case
5	situaci	NOUN	1	obl
6	,	PUNCT	13	punct
7	kdy	ADV	13	advmod
8	dluhy	NOUN	13	nsubj
9	tohoto	DET	10	det
10	výrobce	NOUN	8	nmod
11	nákladních	ADJ	12	amod
12	automobilů	NOUN	10	nmod
13	dosáhly	VERB	5	acl:relcl
14	výše	NOUN	13	obl:arg
15	3.75	NUM	16	nummod:gov
16	miliardy	NOUN	14	nmod
17	korun	NOUN	16	nmod
18	,	PUNCT	25	punct
19	pro	ADP	20	case
20	nedostatek	NOUN	25	obl
21	provozního	ADJ	22	amod
22	kapitálu	NOUN	20	nmod
23	se	PRON	25	expl:pass
24	opakovaně	ADV	25	advmod
25	přerušovala	VERB	13	conj
26	výroba	NOUN	25	nsubj:pass
27	a	CCONJ	28	cc
28	objevovaly	VERB	13	conj
29	se	PRON	28	expl:pv
30	i	CCONJ	31	advmod:emph
31	úvahy	NOUN	28	nsubj
32	o	ADP	33	case
33	bankrotu	NOUN	31	nmod
34	této	DET	35	det
35	firmy	NOUN	33	nmod
36	s	ADP	38	case
37	vynikající	ADJ	38	amod
38	tradicí	NOUN	35	nmod
39	.	PUNCT	1	punct