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:
"A tak jsem se s Hrdinou setkal a domluvili jsme se, že až se vrátí z Ameriky, kde má povinnosti jako scout Pittsburghu, že vše dojednáme.
Postion	Tokenization
1	"
2	A
3	tak
4	jsem
5	se
6	s
7	Hrdinou
8	setkal
9	a
10	domluvili
11	jsme
12	se
13	,
14	že
15	až
16	se
17	vrátí
18	z
19	Ameriky
20	,
21	kde
22	má
23	povinnosti
24	jako
25	scout
26	Pittsburghu
27	,
28	že
29	vše
30	dojednáme
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	A	CCONJ	8	cc
3	tak	ADV	8	cc
4	jsem	AUX	8	aux
5	se	PRON	8	expl:pv
6	s	ADP	7	case
7	Hrdinou	PROPN	8	obl:arg
8	setkal	VERB	0	root
9	a	CCONJ	10	cc
10	domluvili	VERB	8	conj
11	jsme	AUX	10	aux
12	se	PRON	10	expl:pv
13	,	PUNCT	30	punct
14	že	SCONJ	30	mark
15	až	SCONJ	17	mark
16	se	PRON	17	expl:pv
17	vrátí	VERB	30	advcl
18	z	ADP	19	case
19	Ameriky	PROPN	17	obl
20	,	PUNCT	22	punct
21	kde	ADV	22	advmod
22	má	VERB	19	acl:relcl
23	povinnosti	NOUN	22	iobj
24	jako	SCONJ	25	mark
25	scout	NOUN	22	xcomp
26	Pittsburghu	PROPN	25	nmod
27	,	PUNCT	22	punct
28	že	SCONJ	30	discourse
29	vše	DET	30	obj
30	dojednáme	VERB	10	ccomp
31	.	PUNCT	8	punct