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:
Alan James, jeden z pěti rowdies, které irský soud v pondělí propustil na kauci, uvedl, že lístky pro něj a jeho přítele pocházejí od Seamana.
Postion	Tokenization
1	Alan
2	James
3	,
4	jeden
5	z
6	pěti
7	rowdies
8	,
9	které
10	irský
11	soud
12	v
13	pondělí
14	propustil
15	na
16	kauci
17	,
18	uvedl
19	,
20	že
21	lístky
22	pro
23	něj
24	a
25	jeho
26	přítele
27	pocházejí
28	od
29	Seamana
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Alan	PROPN	18	nsubj
2	James	PROPN	1	flat
3	,	PUNCT	4	punct
4	jeden	NUM	1	appos
5	z	ADP	7	case
6	pěti	NUM	7	nummod
7	rowdies	NOUN	4	nmod
8	,	PUNCT	14	punct
9	které	DET	14	obj
10	irský	ADJ	11	amod
11	soud	NOUN	14	nsubj
12	v	ADP	13	case
13	pondělí	NOUN	14	obl
14	propustil	VERB	7	acl:relcl
15	na	ADP	16	case
16	kauci	NOUN	14	obl
17	,	PUNCT	14	punct
18	uvedl	VERB	0	root
19	,	PUNCT	27	punct
20	že	SCONJ	27	mark
21	lístky	NOUN	27	nsubj
22	pro	ADP	23	case
23	něj	PRON	21	nmod
24	a	CCONJ	26	cc
25	jeho	DET	26	det
26	přítele	NOUN	23	conj
27	pocházejí	VERB	18	ccomp
28	od	ADP	29	case
29	Seamana	PROPN	27	obl:arg
30	.	PUNCT	18	punct