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: Druhou chybou, úzce navazující na předchozí, je, že během dvou let po sametové revoluci byla v celém Československu malou privatizací vytvořena snad jen jedna desetina žádoucího počtu drobných soukromých podniků.
Position	Tokenization	UPOS	Head	Deprel
1	Druhou	ADJ	2	amod
2	chybou	NOUN	0	root
3	,	PUNCT	5	punct
4	úzce	ADV	5	advmod
5	navazující	ADJ	2	amod
6	na	ADP	7	case
7	předchozí	ADJ	5	obl:arg
8	,	PUNCT	5	punct
9	je	AUX	2	cop
10	,	PUNCT	24	punct
11	že	SCONJ	24	mark
12	během	ADP	14	case
13	dvou	NUM	14	nummod
14	let	NOUN	24	obl
15	po	ADP	17	case
16	sametové	ADJ	17	amod
17	revoluci	NOUN	14	nmod
18	byla	AUX	24	aux:pass
19	v	ADP	21	case
20	celém	ADJ	21	amod
21	Československu	PROPN	24	obl
22	malou	ADJ	23	amod
23	privatizací	NOUN	24	obl
24	vytvořena	ADJ	2	nsubj
25	snad	ADV	27	advmod:emph
26	jen	PART	27	advmod:emph
27	jedna	NUM	28	nummod
28	desetina	NUM	24	nsubj:pass
29	žádoucího	ADJ	30	amod
30	počtu	NOUN	28	nmod
31	drobných	ADJ	33	amod
32	soukromých	ADJ	33	amod
33	podniků	NOUN	30	nmod
34	.	PUNCT	2	punct