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:
Jeho žena Eva Perónová se stala pro své charisma a charitativní aktivity idolem Argentiny a fenoménem, jenž přerostl hranice státu.
Postion	Tokenization
1	Jeho
2	žena
3	Eva
4	Perónová
5	se
6	stala
7	pro
8	své
9	charisma
10	a
11	charitativní
12	aktivity
13	idolem
14	Argentiny
15	a
16	fenoménem
17	,
18	jenž
19	přerostl
20	hranice
21	státu
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	žena	NOUN	6	nsubj
3	Eva	PROPN	2	flat
4	Perónová	PROPN	2	flat
5	se	PRON	6	expl:pv
6	stala	VERB	0	root
7	pro	ADP	9	case
8	své	DET	9	det
9	charisma	NOUN	6	obl
10	a	CCONJ	12	cc
11	charitativní	ADJ	12	amod
12	aktivity	NOUN	9	conj
13	idolem	NOUN	6	obl:arg
14	Argentiny	PROPN	13	nmod
15	a	CCONJ	16	cc
16	fenoménem	NOUN	13	conj
17	,	PUNCT	19	punct
18	jenž	PRON	19	nsubj
19	přerostl	VERB	16	acl:relcl
20	hranice	NOUN	19	obj
21	státu	NOUN	20	nmod
22	.	PUNCT	6	punct