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 Litvínov by neměl podceňovat předposlední Pardubice (již s Bieglem a Šejbou), protože ztráta bodů by se mu za určité konstelace výsledků nemusela vyplatit.
Postion	Tokenization
1	Ani
2	Litvínov
3	by
4	neměl
5	podceňovat
6	předposlední
7	Pardubice
8	(
9	již
10	s
11	Bieglem
12	a
13	Šejbou
14	)
15	,
16	protože
17	ztráta
18	bodů
19	by
20	se
21	mu
22	za
23	určité
24	konstelace
25	výsledků
26	nemusela
27	vyplatit
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ani	CCONJ	2	advmod:emph
2	Litvínov	PROPN	4	nsubj
3	by	AUX	4	aux
4	neměl	VERB	0	root
5	podceňovat	VERB	4	xcomp
6	předposlední	ADJ	7	amod
7	Pardubice	PROPN	5	obj
8	(	PUNCT	7	punct
9	již	ADV	7	dep
10	s	ADP	11	case
11	Bieglem	PROPN	7	dep
12	a	CCONJ	13	cc
13	Šejbou	PROPN	11	conj
14	)	PUNCT	7	punct
15	,	PUNCT	26	punct
16	protože	SCONJ	26	mark
17	ztráta	NOUN	26	nsubj
18	bodů	NOUN	17	nmod
19	by	AUX	26	aux
20	se	PRON	27	expl:pv
21	mu	PRON	27	obl:arg
22	za	ADP	24	case
23	určité	ADJ	24	amod
24	konstelace	NOUN	26	obl
25	výsledků	NOUN	24	nmod
26	nemusela	VERB	5	advcl
27	vyplatit	VERB	26	xcomp
28	.	PUNCT	4	punct