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:
V době českého národního obrození se šlechta nemalou mírou zasloužila o kulturní rozvoj v Čechách a vůbec nevadilo, že byla jazykově většinou německá.
Postion	Tokenization
1	V
2	době
3	českého
4	národního
5	obrození
6	se
7	šlechta
8	nemalou
9	mírou
10	zasloužila
11	o
12	kulturní
13	rozvoj
14	v
15	Čechách
16	a
17	vůbec
18	nevadilo
19	,
20	že
21	byla
22	jazykově
23	většinou
24	německá
25	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	době	NOUN	10	obl
3	českého	ADJ	5	amod
4	národního	ADJ	5	amod
5	obrození	NOUN	2	nmod
6	se	PRON	10	expl:pv
7	šlechta	NOUN	10	nsubj
8	nemalou	ADJ	9	amod
9	mírou	NOUN	10	obl
10	zasloužila	VERB	0	root
11	o	ADP	13	case
12	kulturní	ADJ	13	amod
13	rozvoj	NOUN	10	obl:arg
14	v	ADP	15	case
15	Čechách	PROPN	13	nmod
16	a	CCONJ	18	cc
17	vůbec	ADV	18	advmod:emph
18	nevadilo	VERB	10	conj
19	,	PUNCT	24	punct
20	že	SCONJ	24	mark
21	byla	AUX	24	cop
22	jazykově	ADV	24	advmod
23	většinou	ADV	24	advmod
24	německá	ADJ	18	csubj
25	.	PUNCT	10	punct