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:
Když jsme však začali trvat na tom, abychom přijímali objednávky pouze od zákazníků, kteří jsou schopni zaplatit, počet objednávek se začal snižovat.
Postion	Tokenization
1	Když
2	jsme
3	však
4	začali
5	trvat
6	na
7	tom
8	,
9	abychom
10	aby
11	bychom
12	přijímali
13	objednávky
14	pouze
15	od
16	zákazníků
17	,
18	kteří
19	jsou
20	schopni
21	zaplatit
22	,
23	počet
24	objednávek
25	se
26	začal
27	snižovat
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	4	mark
2	jsme	AUX	4	aux
3	však	CCONJ	4	cc
4	začali	VERB	25	advcl
5	trvat	VERB	4	xcomp
6	na	ADP	7	case
7	tom	DET	5	obl:arg
8	,	PUNCT	11	punct
9	abychom	_	None	_
10	aby	SCONJ	11	mark
11	bychom	AUX	11	aux
12	přijímali	VERB	7	acl
13	objednávky	NOUN	11	obj
14	pouze	ADV	15	advmod:emph
15	od	ADP	15	case
16	zákazníků	NOUN	11	obl:arg
17	,	PUNCT	19	punct
18	kteří	DET	19	nsubj
19	jsou	AUX	19	cop
20	schopni	ADJ	15	acl:relcl
21	zaplatit	VERB	19	xcomp
22	,	PUNCT	4	punct
23	počet	NOUN	25	nsubj
24	objednávek	NOUN	22	nmod
25	se	PRON	26	expl:pv
26	začal	VERB	0	root
27	snižovat	VERB	25	xcomp
28	.	PUNCT	25	punct