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: Názor na to se ve Spojených státech amerických vyvíjel několik desetiletí, aby vykrystalizoval v poznání, které shrnuje i Peter Drucker: Neziskové instituce samy vědí, že potřebují řízení právě proto, že neusilují o tradiční finanční zisk.
Position	Tokenization	UPOS	Head	Deprel
1	Názor	NOUN	9	nsubj
2	na	ADP	3	case
3	to	DET	1	det
4	se	PRON	9	expl:pv
5	ve	ADP	7	case
6	Spojených	ADJ	7	amod
7	státech	NOUN	9	obl
8	amerických	ADJ	7	amod
9	vyvíjel	VERB	0	root
10	několik	DET	9	obl
11	desetiletí	NOUN	10	nmod
12	,	PUNCT	15	punct
13	aby	_	None	_
14	aby	SCONJ	15	mark
15	by	AUX	15	aux
16	vykrystalizoval	VERB	9	advcl
17	v	ADP	17	case
18	poznání	NOUN	15	obl:arg
19	,	PUNCT	20	punct
20	které	DET	20	obj
21	shrnuje	VERB	17	acl:relcl
22	i	CCONJ	22	advmod:emph
23	Peter	PROPN	20	obl
24	Drucker	PROPN	22	flat
25	:	PUNCT	28	punct
26	Neziskové	ADJ	26	amod
27	instituce	NOUN	28	nsubj
28	samy	DET	26	xcomp
29	vědí	VERB	17	appos
30	,	PUNCT	31	punct
31	že	SCONJ	31	mark
32	potřebují	VERB	28	ccomp
33	řízení	NOUN	31	obj
34	právě	ADV	34	advmod:emph
35	proto	ADV	31	advmod
36	,	PUNCT	37	punct
37	že	SCONJ	37	mark
38	neusilují	VERB	31	advcl
39	o	ADP	41	case
40	tradiční	ADJ	41	amod
41	finanční	ADJ	41	amod
42	zisk	NOUN	37	obl:arg
43	.	PUNCT	9	punct