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:
Jinak mám rád Ameriku a to ne snad jen proto, že moje agentura spolupracuje s IESC a jejím ředitelem pro Českou republiku J. Bartou.
Postion	Tokenization
1	Jinak
2	mám
3	rád
4	Ameriku
5	a
6	to
7	ne
8	snad
9	jen
10	proto
11	,
12	že
13	moje
14	agentura
15	spolupracuje
16	s
17	IESC
18	a
19	jejím
20	ředitelem
21	pro
22	Českou
23	republiku
24	J
25	.
26	Bartou
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Jinak	ADV	2	advmod
2	mám	VERB	0	root
3	rád	ADJ	2	xcomp
4	Ameriku	PROPN	2	iobj
5	a	CCONJ	10	cc
6	to	PART	5	fixed
7	ne	PART	10	advmod:emph
8	snad	ADV	10	advmod:emph
9	jen	PART	10	advmod:emph
10	proto	ADV	2	advmod
11	,	PUNCT	15	punct
12	že	SCONJ	15	mark
13	moje	DET	14	det
14	agentura	NOUN	15	nsubj
15	spolupracuje	VERB	2	advcl
16	s	ADP	17	case
17	IESC	PROPN	15	obl:arg
18	a	CCONJ	20	cc
19	jejím	DET	20	det
20	ředitelem	NOUN	17	conj
21	pro	ADP	23	case
22	Českou	ADJ	23	amod
23	republiku	NOUN	20	nmod
24	J	PROPN	20	flat
25	.	PUNCT	24	punct
26	Bartou	PROPN	20	flat
27	.	PUNCT	2	punct