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:
Nemám potřebu soupeřit v hodnostech, myslím, že je důležité, abych jako poslanec dělal vše pro informovanost o armádě a o bezpečnosti země.
Postion	Tokenization
1	Nemám
2	potřebu
3	soupeřit
4	v
5	hodnostech
6	,
7	myslím
8	,
9	že
10	je
11	důležité
12	,
13	abych
14	aby
15	bych
16	jako
17	poslanec
18	dělal
19	vše
20	pro
21	informovanost
22	o
23	armádě
24	a
25	o
26	bezpečnosti
27	země
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nemám	VERB	0	root
2	potřebu	NOUN	1	obj
3	soupeřit	VERB	2	acl
4	v	ADP	5	case
5	hodnostech	NOUN	3	obl:arg
6	,	PUNCT	7	punct
7	myslím	VERB	1	conj
8	,	PUNCT	11	punct
9	že	SCONJ	11	mark
10	je	AUX	11	cop
11	důležité	ADJ	7	ccomp
12	,	PUNCT	17	punct
13	abych	_	None	_
14	aby	SCONJ	17	mark
15	bych	AUX	17	aux
16	jako	SCONJ	16	mark
17	poslanec	NOUN	17	xcomp
18	dělal	VERB	11	csubj
19	vše	DET	17	iobj
20	pro	ADP	20	case
21	informovanost	NOUN	17	obl
22	o	ADP	22	case
23	armádě	NOUN	20	nmod
24	a	CCONJ	25	cc
25	o	ADP	25	case
26	bezpečnosti	NOUN	22	conj
27	země	NOUN	25	nmod
28	.	PUNCT	1	punct