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: Když budou vědět, že na druhém konci telefonního spojení je skutečně někdo, kdo bude ochoten se s nimi bavit, zatelefonují pravděpodobně také tehdy, až to budou skutečně potřebovat, říká Jarmila Knightová.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	3	mark
2	budou	AUX	3	aux
3	vědět	VERB	23	advcl
4	,	PUNCT	11	punct
5	že	SCONJ	11	mark
6	na	ADP	8	case
7	druhém	ADJ	8	amod
8	konci	NOUN	11	obl
9	telefonního	ADJ	10	amod
10	spojení	NOUN	8	nmod
11	je	VERB	3	ccomp
12	skutečně	ADV	11	advmod
13	někdo	PRON	11	nsubj
14	,	PUNCT	17	punct
15	kdo	PRON	17	nsubj
16	bude	AUX	17	cop
17	ochoten	ADJ	13	acl:relcl
18	se	PRON	21	expl:pv
19	s	ADP	20	case
20	nimi	PRON	21	obl:arg
21	bavit	VERB	17	xcomp
22	,	PUNCT	3	punct
23	zatelefonují	VERB	34	ccomp
24	pravděpodobně	ADV	23	advmod
25	také	ADV	26	advmod:emph
26	tehdy	ADV	23	advmod
27	,	PUNCT	32	punct
28	až	SCONJ	32	mark
29	to	DET	32	obj
30	budou	AUX	32	aux
31	skutečně	ADV	32	advmod
32	potřebovat	VERB	23	advcl
33	,	PUNCT	23	punct
34	říká	VERB	0	root
35	Jarmila	PROPN	34	nsubj
36	Knightová	PROPN	35	flat
37	.	PUNCT	34	punct