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:
Neméně konfliktní situace však nastane, jestliže Sejm přece jen prezidentovo veto přehlasuje, neboť Lech Walesa už prohlásil, že ani v tomto případě nehodlá zákon akceptovat.
Postion	Tokenization
1	Neméně
2	konfliktní
3	situace
4	však
5	nastane
6	,
7	jestliže
8	Sejm
9	přece
10	jen
11	prezidentovo
12	veto
13	přehlasuje
14	,
15	neboť
16	Lech
17	Walesa
18	už
19	prohlásil
20	,
21	že
22	ani
23	v
24	tomto
25	případě
26	nehodlá
27	zákon
28	akceptovat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Neméně	ADV	2	advmod
2	konfliktní	ADJ	3	amod
3	situace	NOUN	5	nsubj
4	však	CCONJ	5	cc
5	nastane	VERB	0	root
6	,	PUNCT	13	punct
7	jestliže	SCONJ	13	mark
8	Sejm	PROPN	13	nsubj
9	přece	ADV	13	cc
10	jen	PART	9	fixed
11	prezidentovo	ADJ	12	amod
12	veto	NOUN	13	obj
13	přehlasuje	VERB	5	advcl
14	,	PUNCT	19	punct
15	neboť	CCONJ	19	cc
16	Lech	PROPN	19	nsubj
17	Walesa	PROPN	16	flat
18	už	ADV	19	advmod
19	prohlásil	VERB	5	conj
20	,	PUNCT	26	punct
21	že	SCONJ	26	mark
22	ani	CCONJ	25	advmod:emph
23	v	ADP	25	case
24	tomto	DET	25	det
25	případě	NOUN	26	obl
26	nehodlá	VERB	19	ccomp
27	zákon	NOUN	28	obj
28	akceptovat	VERB	26	xcomp
29	.	PUNCT	5	punct