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:
Telefonovala jsem cyklistovi Kejvalovi, který má stejný nález, a konzultovala jsem s ním, jaké užíval vitaminy, protože jsem přesvědčená, že se nandrolon do těla může dostat i jiným způsobem než injekční aplikací.
Postion	Tokenization
1	Telefonovala
2	jsem
3	cyklistovi
4	Kejvalovi
5	,
6	který
7	má
8	stejný
9	nález
10	,
11	a
12	konzultovala
13	jsem
14	s
15	ním
16	,
17	jaké
18	užíval
19	vitaminy
20	,
21	protože
22	jsem
23	přesvědčená
24	,
25	že
26	se
27	nandrolon
28	do
29	těla
30	může
31	dostat
32	i
33	jiným
34	způsobem
35	než
36	injekční
37	aplikací
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Telefonovala	VERB	0	root
2	jsem	AUX	1	aux
3	cyklistovi	NOUN	1	obl:arg
4	Kejvalovi	PROPN	3	flat
5	,	PUNCT	7	punct
6	který	DET	7	nsubj
7	má	VERB	3	acl:relcl
8	stejný	ADJ	9	amod
9	nález	NOUN	7	obj
10	,	PUNCT	12	punct
11	a	CCONJ	12	cc
12	konzultovala	VERB	1	conj
13	jsem	AUX	12	aux
14	s	ADP	15	case
15	ním	PRON	12	obl:arg
16	,	PUNCT	18	punct
17	jaké	DET	19	det
18	užíval	VERB	12	ccomp
19	vitaminy	NOUN	18	obj
20	,	PUNCT	23	punct
21	protože	SCONJ	23	mark
22	jsem	AUX	23	cop
23	přesvědčená	ADJ	12	advcl
24	,	PUNCT	30	punct
25	že	SCONJ	30	mark
26	se	PRON	31	expl:pv
27	nandrolon	NOUN	30	nsubj
28	do	ADP	29	case
29	těla	NOUN	31	obl
30	může	VERB	23	ccomp
31	dostat	VERB	30	xcomp
32	i	CCONJ	34	advmod:emph
33	jiným	ADJ	34	amod
34	způsobem	NOUN	31	obl
35	než	SCONJ	37	mark
36	injekční	ADJ	37	amod
37	aplikací	NOUN	33	advcl
38	.	PUNCT	1	punct