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:
Připomínali si půl století od osvobození své země a zároveň varovali před těmi, kteří dnes mají sklon zapomínat, že italská republika má antifašistické základy.
Postion	Tokenization
1	Připomínali
2	si
3	půl
4	století
5	od
6	osvobození
7	své
8	země
9	a
10	zároveň
11	varovali
12	před
13	těmi
14	,
15	kteří
16	dnes
17	mají
18	sklon
19	zapomínat
20	,
21	že
22	italská
23	republika
24	má
25	antifašistické
26	základy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Připomínali	VERB	0	root
2	si	PRON	1	obl:arg
3	půl	NOUN	1	obj
4	století	NOUN	3	nmod
5	od	ADP	6	case
6	osvobození	NOUN	3	nmod
7	své	DET	8	det
8	země	NOUN	6	nmod
9	a	CCONJ	11	cc
10	zároveň	ADV	11	advmod
11	varovali	VERB	1	conj
12	před	ADP	13	case
13	těmi	DET	11	obl:arg
14	,	PUNCT	17	punct
15	kteří	DET	17	nsubj
16	dnes	ADV	17	advmod
17	mají	VERB	13	acl:relcl
18	sklon	NOUN	17	obj
19	zapomínat	VERB	18	acl
20	,	PUNCT	24	punct
21	že	SCONJ	24	mark
22	italská	ADJ	23	amod
23	republika	NOUN	24	nsubj
24	má	VERB	19	ccomp
25	antifašistické	ADJ	26	amod
26	základy	NOUN	24	obj
27	.	PUNCT	1	punct