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:
Přihlásilo se nám na 30000 uchazečů, ze kterých jsme přijali necelé dva tisíce , uvedl Alan Jones výrobní ředitel Toyota Burnaston (na snímku) .
Postion	Tokenization
1	Přihlásilo
2	se
3	nám
4	na
5	30000
6	uchazečů
7	,
8	ze
9	kterých
10	jsme
11	přijali
12	necelé
13	dva
14	tisíce
15	,
16	uvedl
17	Alan
18	Jones
19	výrobní
20	ředitel
21	Toyota
22	Burnaston
23	(
24	na
25	snímku
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Přihlásilo	VERB	16	ccomp
2	se	PRON	1	obj
3	nám	PRON	1	obl:arg
4	na	ADP	6	case
5	30000	NUM	6	nummod:gov
6	uchazečů	NOUN	1	nsubj
7	,	PUNCT	11	punct
8	ze	ADP	9	case
9	kterých	DET	11	obl
10	jsme	AUX	11	aux
11	přijali	VERB	5	acl:relcl
12	necelé	ADJ	14	amod
13	dva	NUM	14	nummod
14	tisíce	NOUN	11	obj
15	,	PUNCT	1	punct
16	uvedl	VERB	0	root
17	Alan	PROPN	16	nsubj
18	Jones	PROPN	17	flat
19	výrobní	ADJ	20	amod
20	ředitel	NOUN	17	nmod
21	Toyota	PROPN	20	nmod
22	Burnaston	PROPN	21	nmod
23	(	PUNCT	17	punct
24	na	ADP	25	case
25	snímku	NOUN	17	dep
26	)	PUNCT	17	punct
27	.	PUNCT	16	punct