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:
Schlín, který se těmito nařčeními cítil potrefen, napsal odpověď, v níž stálo, že to není pravda a že lhář je Kudlín.
Postion	Tokenization
1	Schlín
2	,
3	který
4	se
5	těmito
6	nařčeními
7	cítil
8	potrefen
9	,
10	napsal
11	odpověď
12	,
13	v
14	níž
15	stálo
16	,
17	že
18	to
19	není
20	pravda
21	a
22	že
23	lhář
24	je
25	Kudlín
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Schlín	PROPN	10	nsubj
2	,	PUNCT	7	punct
3	který	DET	7	nsubj
4	se	PRON	7	expl:pv
5	těmito	DET	6	det
6	nařčeními	NOUN	8	obl
7	cítil	VERB	1	acl:relcl
8	potrefen	ADJ	7	obj
9	,	PUNCT	7	punct
10	napsal	VERB	0	root
11	odpověď	NOUN	10	obj
12	,	PUNCT	15	punct
13	v	ADP	14	case
14	níž	PRON	15	obl
15	stálo	VERB	11	acl:relcl
16	,	PUNCT	20	punct
17	že	SCONJ	20	mark
18	to	DET	20	nsubj
19	není	AUX	20	cop
20	pravda	NOUN	15	csubj
21	a	CCONJ	23	cc
22	že	SCONJ	23	mark
23	lhář	NOUN	20	conj
24	je	AUX	23	cop
25	Kudlín	PROPN	23	nsubj
26	.	PUNCT	10	punct