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:
Ani ruský filmař se netajil s vlastními pocity marnosti a citoval přitom Bergmanův výrok o touze umělce jít na pódium, poplivat diváka a pak se za scénou oběsit.
Postion	Tokenization
1	Ani
2	ruský
3	filmař
4	se
5	netajil
6	s
7	vlastními
8	pocity
9	marnosti
10	a
11	citoval
12	přitom
13	Bergmanův
14	výrok
15	o
16	touze
17	umělce
18	jít
19	na
20	pódium
21	,
22	poplivat
23	diváka
24	a
25	pak
26	se
27	za
28	scénou
29	oběsit
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ani	CCONJ	3	advmod:emph
2	ruský	ADJ	3	amod
3	filmař	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	netajil	VERB	0	root
6	s	ADP	8	case
7	vlastními	ADJ	8	amod
8	pocity	NOUN	5	obl:arg
9	marnosti	NOUN	8	nmod
10	a	CCONJ	11	cc
11	citoval	VERB	5	conj
12	přitom	ADV	11	advmod
13	Bergmanův	ADJ	14	amod
14	výrok	NOUN	11	obj
15	o	ADP	16	case
16	touze	NOUN	14	nmod
17	umělce	NOUN	16	nmod
18	jít	VERB	16	acl
19	na	ADP	20	case
20	pódium	NOUN	18	obl:arg
21	,	PUNCT	22	punct
22	poplivat	VERB	18	conj
23	diváka	NOUN	22	obj
24	a	CCONJ	29	cc
25	pak	ADV	29	advmod
26	se	PRON	29	obj
27	za	ADP	28	case
28	scénou	NOUN	29	obl
29	oběsit	VERB	18	conj
30	.	PUNCT	5	punct