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:
Ohromně nám pomáhala i později, byla poradkyní prezidenta Havla při jeho prvních cestách do Ameriky, poskytovala velvyslankyni v Americe Ritě Klímové své vynikající kontakty.
Postion	Tokenization
1	Ohromně
2	nám
3	pomáhala
4	i
5	později
6	,
7	byla
8	poradkyní
9	prezidenta
10	Havla
11	při
12	jeho
13	prvních
14	cestách
15	do
16	Ameriky
17	,
18	poskytovala
19	velvyslankyni
20	v
21	Americe
22	Ritě
23	Klímové
24	své
25	vynikající
26	kontakty
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ohromně	ADV	3	advmod
2	nám	PRON	3	obl:arg
3	pomáhala	VERB	0	root
4	i	CCONJ	5	advmod:emph
5	později	ADV	3	advmod
6	,	PUNCT	8	punct
7	byla	AUX	8	cop
8	poradkyní	NOUN	3	conj
9	prezidenta	NOUN	8	nmod
10	Havla	PROPN	9	flat
11	při	ADP	14	case
12	jeho	DET	14	det
13	prvních	ADJ	14	amod
14	cestách	NOUN	8	obl
15	do	ADP	16	case
16	Ameriky	PROPN	14	nmod
17	,	PUNCT	18	punct
18	poskytovala	VERB	3	conj
19	velvyslankyni	NOUN	18	obl:arg
20	v	ADP	21	case
21	Americe	PROPN	19	nmod
22	Ritě	PROPN	19	flat
23	Klímové	PROPN	19	flat
24	své	DET	26	det
25	vynikající	ADJ	26	amod
26	kontakty	NOUN	18	obj
27	.	PUNCT	3	punct