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: K tomu, aby zjistil, zda někdo z Američanů, známých pod názvem firmy GSR, na středečním zasedání představenstva byl fyzicky přítomen, spotřebuje novinář dvě hodiny času: aby se nakonec dozvěděl, že ano, ale jmenovitě vám to neřeknu.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	tomu	DET	27	obl
3	,	PUNCT	6	punct
4	aby	_	None	_
5	aby	SCONJ	6	mark
6	by	AUX	6	aux
7	zjistil	VERB	2	acl
8	,	PUNCT	25	punct
9	zda	SCONJ	25	mark
10	někdo	PRON	25	nsubj
11	z	ADP	11	case
12	Američanů	PROPN	9	nmod
13	,	PUNCT	13	punct
14	známých	ADJ	11	amod
15	pod	ADP	15	case
16	názvem	NOUN	13	obl
17	firmy	NOUN	15	nmod
18	GSR	PROPN	16	nmod
19	,	PUNCT	13	punct
20	na	ADP	21	case
21	středečním	ADJ	21	amod
22	zasedání	NOUN	25	obl
23	představenstva	NOUN	21	nmod
24	byl	AUX	25	cop
25	fyzicky	ADV	25	advmod
26	přítomen	ADJ	6	ccomp
27	,	PUNCT	25	punct
28	spotřebuje	VERB	0	root
29	novinář	NOUN	27	nsubj
30	dvě	NUM	30	nummod
31	hodiny	NOUN	27	obj
32	času	NOUN	30	nmod
33	:	PUNCT	37	punct
34	aby	_	None	_
35	aby	SCONJ	37	mark
36	by	AUX	37	aux
37	se	PRON	37	expl:pv
38	nakonec	ADV	37	advmod
39	dozvěděl	VERB	27	advcl
40	,	PUNCT	40	punct
41	že	SCONJ	40	mark
42	ano	PART	37	dep
43	,	PUNCT	46	punct
44	ale	CCONJ	46	cc
45	jmenovitě	ADV	46	advmod
46	vám	PRON	46	obl:arg
47	to	DET	46	obj
48	neřeknu	VERB	40	conj
49	.	PUNCT	27	punct