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:
Narovnání vzájemných vztahů, překonání starých konfliktů z nedůvěry, živených komunisty, bude mít vliv na integraci ČR do evropských a transatlantických struktur.
Postion	Tokenization
1	Narovnání
2	vzájemných
3	vztahů
4	,
5	překonání
6	starých
7	konfliktů
8	z
9	nedůvěry
10	,
11	živených
12	komunisty
13	,
14	bude
15	mít
16	vliv
17	na
18	integraci
19	ČR
20	do
21	evropských
22	a
23	transatlantických
24	struktur
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Narovnání	NOUN	15	nsubj
2	vzájemných	ADJ	3	amod
3	vztahů	NOUN	1	nmod
4	,	PUNCT	5	punct
5	překonání	NOUN	1	conj
6	starých	ADJ	7	amod
7	konfliktů	NOUN	5	nmod
8	z	ADP	9	case
9	nedůvěry	NOUN	7	nmod
10	,	PUNCT	11	punct
11	živených	ADJ	7	amod
12	komunisty	NOUN	11	obl:arg
13	,	PUNCT	11	punct
14	bude	AUX	15	aux
15	mít	VERB	0	root
16	vliv	NOUN	15	obj
17	na	ADP	18	case
18	integraci	NOUN	16	nmod
19	ČR	PROPN	18	nmod
20	do	ADP	24	case
21	evropských	ADJ	24	amod
22	a	CCONJ	23	cc
23	transatlantických	ADJ	21	conj
24	struktur	NOUN	18	nmod
25	.	PUNCT	15	punct