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:
Být hercem - kniha z řady melantrišských Memoárů (tentokrát ve zpracování Marie Valtrové) přináší portrét jednoho z posledních opravdových gentlemanů filmového plátna a českého divadla - Svatopluka Beneše.
Postion	Tokenization
1	Být
2	hercem
3	-
4	kniha
5	z
6	řady
7	melantrišských
8	Memoárů
9	(
10	tentokrát
11	ve
12	zpracování
13	Marie
14	Valtrové
15	)
16	přináší
17	portrét
18	jednoho
19	z
20	posledních
21	opravdových
22	gentlemanů
23	filmového
24	plátna
25	a
26	českého
27	divadla
28	-
29	Svatopluka
30	Beneše
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Být	AUX	2	cop
2	hercem	NOUN	16	csubj
3	-	PUNCT	4	punct
4	kniha	NOUN	2	appos
5	z	ADP	6	case
6	řady	NOUN	4	nmod
7	melantrišských	ADJ	8	amod
8	Memoárů	NOUN	6	nmod
9	(	PUNCT	2	punct
10	tentokrát	ADV	2	dep
11	ve	ADP	12	case
12	zpracování	NOUN	2	dep
13	Marie	PROPN	12	nmod
14	Valtrové	PROPN	13	flat
15	)	PUNCT	2	punct
16	přináší	VERB	0	root
17	portrét	NOUN	16	obj
18	jednoho	NUM	17	nummod
19	z	ADP	22	case
20	posledních	ADJ	22	amod
21	opravdových	ADJ	22	amod
22	gentlemanů	NOUN	18	nmod
23	filmového	ADJ	24	amod
24	plátna	NOUN	22	nmod
25	a	CCONJ	27	cc
26	českého	ADJ	27	amod
27	divadla	NOUN	24	conj
28	-	PUNCT	29	punct
29	Svatopluka	PROPN	18	appos
30	Beneše	PROPN	29	flat
31	.	PUNCT	16	punct