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:
Její přítomnost naznačuje, proč se Američan rozhodl vyjít na veřejnost: milostná romance zřejmě zasáhla zahořklého génia tak, že ho osvobodila z klece "exilu".
Postion	Tokenization
1	Její
2	přítomnost
3	naznačuje
4	,
5	proč
6	se
7	Američan
8	rozhodl
9	vyjít
10	na
11	veřejnost
12	:
13	milostná
14	romance
15	zřejmě
16	zasáhla
17	zahořklého
18	génia
19	tak
20	,
21	že
22	ho
23	osvobodila
24	z
25	klece
26	"
27	exilu
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Její	DET	2	det
2	přítomnost	NOUN	3	nsubj
3	naznačuje	VERB	0	root
4	,	PUNCT	8	punct
5	proč	ADV	8	advmod
6	se	PRON	8	expl:pv
7	Američan	PROPN	8	nsubj
8	rozhodl	VERB	3	ccomp
9	vyjít	VERB	8	xcomp
10	na	ADP	11	case
11	veřejnost	NOUN	9	obl
12	:	PUNCT	16	punct
13	milostná	ADJ	14	amod
14	romance	NOUN	16	nsubj
15	zřejmě	ADV	16	advmod
16	zasáhla	VERB	3	conj
17	zahořklého	ADJ	18	amod
18	génia	NOUN	16	obj
19	tak	ADV	16	advmod
20	,	PUNCT	23	punct
21	že	SCONJ	23	mark
22	ho	PRON	23	obj
23	osvobodila	VERB	16	advcl
24	z	ADP	25	case
25	klece	NOUN	23	obl
26	"	PUNCT	27	punct
27	exilu	NOUN	25	nmod
28	"	PUNCT	27	punct
29	.	PUNCT	3	punct