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:
Nadprůměrně zvládnutý film, který odstartoval Vašutovu popularitu, kritik Jaroslav Jaroš tehdy - poněkud nepatřičně - obvinil z politického konjunkturalismu.
Postion	Tokenization
1	Nadprůměrně
2	zvládnutý
3	film
4	,
5	který
6	odstartoval
7	Vašutovu
8	popularitu
9	,
10	kritik
11	Jaroslav
12	Jaroš
13	tehdy
14	-
15	poněkud
16	nepatřičně
17	-
18	obvinil
19	z
20	politického
21	konjunkturalismu
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Nadprůměrně	ADV	2	advmod
2	zvládnutý	ADJ	3	amod
3	film	NOUN	18	obj
4	,	PUNCT	6	punct
5	který	DET	6	nsubj
6	odstartoval	VERB	3	acl:relcl
7	Vašutovu	ADJ	8	amod
8	popularitu	NOUN	6	obj
9	,	PUNCT	6	punct
10	kritik	NOUN	18	nsubj
11	Jaroslav	PROPN	10	flat
12	Jaroš	PROPN	10	flat
13	tehdy	ADV	18	advmod
14	-	PUNCT	16	punct
15	poněkud	ADV	16	advmod:emph
16	nepatřičně	ADV	18	advmod
17	-	PUNCT	16	punct
18	obvinil	VERB	0	root
19	z	ADP	21	case
20	politického	ADJ	21	amod
21	konjunkturalismu	NOUN	18	obl:arg
22	.	PUNCT	18	punct