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:
Přihodí se mu to v roli doktora Alexandera Hesseho, který se tajně stane pokusným objektem pro svůj preparát, příznivě ovlivňující graviditu.
Postion	Tokenization
1	Přihodí
2	se
3	mu
4	to
5	v
6	roli
7	doktora
8	Alexandera
9	Hesseho
10	,
11	který
12	se
13	tajně
14	stane
15	pokusným
16	objektem
17	pro
18	svůj
19	preparát
20	,
21	příznivě
22	ovlivňující
23	graviditu
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Přihodí	VERB	0	root
2	se	PRON	1	expl:pv
3	mu	PRON	1	obl:arg
4	to	DET	1	nsubj
5	v	ADP	6	case
6	roli	NOUN	1	obl
7	doktora	NOUN	6	nmod
8	Alexandera	PROPN	7	flat
9	Hesseho	PROPN	7	flat
10	,	PUNCT	14	punct
11	který	DET	14	nsubj
12	se	PRON	14	expl:pv
13	tajně	ADV	14	advmod
14	stane	VERB	7	acl:relcl
15	pokusným	ADJ	16	amod
16	objektem	NOUN	14	obl:arg
17	pro	ADP	19	case
18	svůj	DET	19	det
19	preparát	NOUN	16	nmod
20	,	PUNCT	22	punct
21	příznivě	ADV	22	advmod
22	ovlivňující	ADJ	19	amod
23	graviditu	NOUN	22	obj
24	.	PUNCT	1	punct