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: V té době se totiž dbalo na to, aby mládež nerostla jako dříví v lese, a při každé příležitosti se jí vštěpovaly zásady nové (ne)morálky, a to dokonce i na tancovačkách.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	té	DET	3	det
3	době	NOUN	6	obl
4	se	PRON	6	expl:pass
5	totiž	ADV	6	advmod
6	dbalo	VERB	0	root
7	na	ADP	8	case
8	to	DET	6	obl:arg
9	,	PUNCT	13	punct
10	aby	_	None	_
11	aby	SCONJ	13	mark
12	by	AUX	13	aux
13	mládež	NOUN	13	nsubj
14	nerostla	VERB	8	acl
15	jako	SCONJ	15	mark
16	dříví	NOUN	13	advcl
17	v	ADP	17	case
18	lese	NOUN	15	nmod
19	,	PUNCT	25	punct
20	a	CCONJ	25	cc
21	při	ADP	22	case
22	každé	DET	22	det
23	příležitosti	NOUN	25	obl
24	se	PRON	25	expl:pass
25	jí	PRON	25	obl:arg
26	vštěpovaly	VERB	13	conj
27	zásady	NOUN	25	nsubj:pass
28	nové	ADJ	31	amod
29	(	PUNCT	29	punct
30	ne	PART	31	nmod
31	)	PUNCT	29	punct
32	morálky	NOUN	26	nmod
33	,	PUNCT	38	punct
34	a	CCONJ	38	cc
35	to	PART	33	fixed
36	dokonce	ADV	38	advmod:emph
37	i	CCONJ	38	advmod:emph
38	na	ADP	38	case
39	tancovačkách	NOUN	25	obl
40	.	PUNCT	6	punct