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:
Po nasazené dvojce Goranu Ivaniševičovi (píšeme o tom na jiném místě) vypadl v 1. kole US Open i německý tenista Boris Becker (nasazený jako č. 7).
Postion	Tokenization
1	Po
2	nasazené
3	dvojce
4	Goranu
5	Ivaniševičovi
6	(
7	píšeme
8	o
9	tom
10	na
11	jiném
12	místě
13	)
14	vypadl
15	v
16	1
17	.
18	kole
19	US
20	Open
21	i
22	německý
23	tenista
24	Boris
25	Becker
26	(
27	nasazený
28	jako
29	č
30	.
31	7
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	4	case
2	nasazené	ADJ	3	amod
3	dvojce	NOUN	4	nmod
4	Goranu	PROPN	14	obl
5	Ivaniševičovi	PROPN	4	flat
6	(	PUNCT	7	punct
7	píšeme	VERB	14	parataxis
8	o	ADP	9	case
9	tom	DET	7	obl:arg
10	na	ADP	12	case
11	jiném	ADJ	12	amod
12	místě	NOUN	7	obl
13	)	PUNCT	7	punct
14	vypadl	VERB	0	root
15	v	ADP	18	case
16	1	NUM	18	nummod
17	.	PUNCT	16	punct
18	kole	NOUN	14	obl
19	US	ADJ	18	amod
20	Open	ADJ	19	flat:foreign
21	i	CCONJ	23	advmod:emph
22	německý	ADJ	23	amod
23	tenista	NOUN	14	nsubj
24	Boris	PROPN	23	flat
25	Becker	PROPN	23	flat
26	(	PUNCT	27	punct
27	nasazený	ADJ	23	amod
28	jako	SCONJ	29	mark
29	č	NOUN	23	xcomp
30	.	PUNCT	29	punct
31	7	NUM	29	nummod
32	)	PUNCT	14	punct
33	.	PUNCT	14	punct