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: Podle Naděždy Blažíčkové , která vede oddělení českého malířství 19. století v Národní galerii v Praze, se dá vysvětlit dnešní relativně malá poptávka po obrazech tím, že sběratelé, mezi kterými je nejvíce lékařů, nemají mnoho peněz.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Naděždy	PROPN	20	obl
3	Blažíčkové	PROPN	2	flat
4	,	PUNCT	6	punct
5	která	DET	6	nsubj
6	vede	VERB	2	acl:relcl
7	oddělení	NOUN	6	obj
8	českého	ADJ	9	amod
9	malířství	NOUN	7	nmod
10	19	NUM	12	nummod
11	.	PUNCT	10	punct
12	století	NOUN	9	nmod
13	v	ADP	15	case
14	Národní	ADJ	15	amod
15	galerii	NOUN	6	obl
16	v	ADP	17	case
17	Praze	PROPN	15	nmod
18	,	PUNCT	6	punct
19	se	PRON	20	expl:pass
20	dá	VERB	0	root
21	vysvětlit	VERB	20	xcomp
22	dnešní	ADJ	25	amod
23	relativně	ADV	24	advmod
24	malá	ADJ	25	amod
25	poptávka	NOUN	20	nsubj:pass
26	po	ADP	27	case
27	obrazech	NOUN	25	nmod
28	tím	DET	21	obl
29	,	PUNCT	39	punct
30	že	SCONJ	39	mark
31	sběratelé	NOUN	39	nsubj
32	,	PUNCT	35	punct
33	mezi	ADP	34	case
34	kterými	DET	35	obl
35	je	VERB	31	acl:relcl
36	nejvíce	ADV	35	nsubj
37	lékařů	NOUN	36	nmod
38	,	PUNCT	35	punct
39	nemají	VERB	28	acl
40	mnoho	DET	41	det:numgov
41	peněz	NOUN	39	obj
42	.	PUNCT	20	punct