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: Jestliže jeden ze tří amerických manažerů v kopřivnické Tatře, zástupce generálního ředitele David Shelby, pro ČTK vysloví předpověď o letošní výrobě 1200 nákladních vozů a představenstvo takové číslo oficiálně odmítne jako tvrzení regionálního tisku, svědčí to přinejmenším o váhání vyrukovat se špatnou zprávou.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	19	mark
2	jeden	NUM	19	nsubj
3	ze	ADP	6	case
4	tří	NUM	6	nummod
5	amerických	ADJ	6	amod
6	manažerů	NOUN	2	nmod
7	v	ADP	9	case
8	kopřivnické	ADJ	9	amod
9	Tatře	PROPN	6	nmod
10	,	PUNCT	11	punct
11	zástupce	NOUN	2	appos
12	generálního	ADJ	13	amod
13	ředitele	NOUN	11	nmod
14	David	PROPN	11	flat
15	Shelby	PROPN	11	flat
16	,	PUNCT	11	punct
17	pro	ADP	18	case
18	ČTK	PROPN	19	obl
19	vysloví	VERB	38	advcl
20	předpověď	NOUN	19	obj
21	o	ADP	23	case
22	letošní	ADJ	23	amod
23	výrobě	NOUN	20	nmod
24	1200	NUM	26	nummod:gov
25	nákladních	ADJ	26	amod
26	vozů	NOUN	23	nmod
27	a	CCONJ	32	cc
28	představenstvo	NOUN	32	nsubj
29	takové	DET	30	det
30	číslo	NOUN	32	obj
31	oficiálně	ADV	32	advmod
32	odmítne	VERB	19	conj
33	jako	SCONJ	34	mark
34	tvrzení	NOUN	30	xcomp
35	regionálního	ADJ	36	amod
36	tisku	NOUN	34	nmod
37	,	PUNCT	19	punct
38	svědčí	VERB	0	root
39	to	DET	38	nsubj
40	přinejmenším	ADV	42	advmod:emph
41	o	ADP	42	case
42	váhání	NOUN	38	obl:arg
43	vyrukovat	VERB	42	acl
44	se	ADP	46	case
45	špatnou	ADJ	46	amod
46	zprávou	NOUN	43	obl
47	.	PUNCT	38	punct