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 tokenized text:
Zhruba stovka fotografií, kreseb a náčrtků představuje Zelenku, který zahynul v roce 1944 v koncentračním táboře, jako autora plakátů k divadelním hrám, návrháře kostýmů a scény (například v Osvobozeném divadle) a také jeho práci z Terezína, kde v roce 1943 pracoval na výpravě Krásovy opery Brundibár.
Postion	Tokenization
1	Zhruba
2	stovka
3	fotografií
4	,
5	kreseb
6	a
7	náčrtků
8	představuje
9	Zelenku
10	,
11	který
12	zahynul
13	v
14	roce
15	1944
16	v
17	koncentračním
18	táboře
19	,
20	jako
21	autora
22	plakátů
23	k
24	divadelním
25	hrám
26	,
27	návrháře
28	kostýmů
29	a
30	scény
31	(
32	například
33	v
34	Osvobozeném
35	divadle
36	)
37	a
38	také
39	jeho
40	práci
41	z
42	Terezína
43	,
44	kde
45	v
46	roce
47	1943
48	pracoval
49	na
50	výpravě
51	Krásovy
52	opery
53	Brundibár
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Zhruba	ADV	2	advmod:emph
2	stovka	NOUN	8	nsubj
3	fotografií	NOUN	2	nmod
4	,	PUNCT	5	punct
5	kreseb	NOUN	3	conj
6	a	CCONJ	7	cc
7	náčrtků	NOUN	3	conj
8	představuje	VERB	0	root
9	Zelenku	PROPN	8	obj
10	,	PUNCT	12	punct
11	který	DET	12	nsubj
12	zahynul	VERB	9	acl:relcl
13	v	ADP	14	case
14	roce	NOUN	12	obl
15	1944	NUM	14	nummod
16	v	ADP	18	case
17	koncentračním	ADJ	18	amod
18	táboře	NOUN	12	obl
19	,	PUNCT	12	punct
20	jako	SCONJ	21	cc
21	autora	NOUN	9	xcomp
22	plakátů	NOUN	21	nmod
23	k	ADP	25	case
24	divadelním	ADJ	25	amod
25	hrám	NOUN	22	nmod
26	,	PUNCT	27	punct
27	návrháře	NOUN	21	conj
28	kostýmů	NOUN	27	nmod
29	a	CCONJ	30	cc
30	scény	NOUN	28	conj
31	(	PUNCT	35	punct
32	například	ADV	35	advmod:emph
33	v	ADP	35	case
34	Osvobozeném	ADJ	35	amod
35	divadle	NOUN	30	nmod
36	)	PUNCT	35	punct
37	a	CCONJ	40	cc
38	také	ADV	40	advmod:emph
39	jeho	DET	40	det
40	práci	NOUN	9	conj
41	z	ADP	42	case
42	Terezína	PROPN	40	nmod
43	,	PUNCT	48	punct
44	kde	ADV	48	advmod
45	v	ADP	46	case
46	roce	NOUN	48	obl
47	1943	NUM	46	nummod
48	pracoval	VERB	42	acl:relcl
49	na	ADP	50	case
50	výpravě	NOUN	48	obl:arg
51	Krásovy	ADJ	52	amod
52	opery	NOUN	50	nmod
53	Brundibár	PROPN	52	nmod
54	.	PUNCT	8	punct