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:
Na potížích se podepsal i příliš optimistický předpoklad vedení, že na domácím trhu uspěje s kvalitními pokladnami pro obchody a restaurace v licenci firmy Anker.
Postion	Tokenization
1	Na
2	potížích
3	se
4	podepsal
5	i
6	příliš
7	optimistický
8	předpoklad
9	vedení
10	,
11	že
12	na
13	domácím
14	trhu
15	uspěje
16	s
17	kvalitními
18	pokladnami
19	pro
20	obchody
21	a
22	restaurace
23	v
24	licenci
25	firmy
26	Anker
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	potížích	NOUN	4	obl
3	se	PRON	4	expl:pv
4	podepsal	VERB	0	root
5	i	CCONJ	8	advmod:emph
6	příliš	ADV	7	advmod
7	optimistický	ADJ	8	amod
8	předpoklad	NOUN	4	nsubj
9	vedení	NOUN	8	nmod
10	,	PUNCT	15	punct
11	že	SCONJ	15	mark
12	na	ADP	14	case
13	domácím	ADJ	14	amod
14	trhu	NOUN	15	obl
15	uspěje	VERB	8	acl
16	s	ADP	18	case
17	kvalitními	ADJ	18	amod
18	pokladnami	NOUN	15	obl
19	pro	ADP	20	case
20	obchody	NOUN	18	nmod
21	a	CCONJ	22	cc
22	restaurace	NOUN	20	conj
23	v	ADP	24	case
24	licenci	NOUN	18	nmod
25	firmy	NOUN	24	nmod
26	Anker	PROPN	25	nmod
27	.	PUNCT	4	punct