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: Dá se pak říci, že dobrého manažera lze také poznat nejen podle toho, jak dlouho - třeba do pozdní noci - pracuje, ale podle toho, jak efektivně dokáže využívat svůj čas a redukovat neefektivní část pracovní doby na co nejnižší míru.
Position	Tokenization	UPOS	Head	Deprel
1	Dá	VERB	0	root
2	se	PRON	1	expl:pass
3	pak	ADV	1	advmod
4	říci	VERB	1	xcomp
5	,	PUNCT	9	punct
6	že	SCONJ	9	mark
7	dobrého	ADJ	8	amod
8	manažera	NOUN	11	obj
9	lze	VERB	1	csubj:pass
10	také	ADV	11	advmod
11	poznat	VERB	9	csubj
12	nejen	PART	14	advmod:emph
13	podle	ADP	14	case
14	toho	DET	11	obl
15	,	PUNCT	24	punct
16	jak	ADV	24	advmod
17	dlouho	ADV	24	advmod
18	-	PUNCT	22	punct
19	třeba	ADV	22	advmod
20	do	ADP	22	case
21	pozdní	ADJ	22	amod
22	noci	NOUN	17	obl
23	-	PUNCT	22	punct
24	pracuje	VERB	14	acl
25	,	PUNCT	28	punct
26	ale	CCONJ	28	cc
27	podle	ADP	28	case
28	toho	DET	14	conj
29	,	PUNCT	32	punct
30	jak	ADV	32	advmod
31	efektivně	ADV	32	advmod
32	dokáže	VERB	28	acl
33	využívat	VERB	32	xcomp
34	svůj	DET	35	det
35	čas	NOUN	33	obj
36	a	CCONJ	37	cc
37	redukovat	VERB	33	conj
38	neefektivní	ADJ	39	amod
39	část	NOUN	37	obj
40	pracovní	ADJ	41	amod
41	doby	NOUN	39	nmod
42	na	ADP	45	case
43	co	ADV	44	advmod
44	nejnižší	ADJ	45	amod
45	míru	NOUN	37	obl
46	.	PUNCT	1	punct