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:
Bártův případ je podle něj v souvislosti se složitým procesem transformace armády trapná banalita, která je však významná z hlediska prestiže armády v očích veřejnosti.
Postion	Tokenization
1	Bártův
2	případ
3	je
4	podle
5	něj
6	v
7	souvislosti
8	se
9	složitým
10	procesem
11	transformace
12	armády
13	trapná
14	banalita
15	,
16	která
17	je
18	však
19	významná
20	z
21	hlediska
22	prestiže
23	armády
24	v
25	očích
26	veřejnosti
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Bártův	ADJ	2	amod
2	případ	NOUN	14	nsubj
3	je	AUX	14	cop
4	podle	ADP	5	case
5	něj	PRON	14	obl
6	v	ADP	10	case
7	souvislosti	NOUN	6	fixed
8	se	ADP	6	fixed
9	složitým	ADJ	10	amod
10	procesem	NOUN	14	obl
11	transformace	NOUN	10	nmod
12	armády	NOUN	11	nmod
13	trapná	ADJ	14	amod
14	banalita	NOUN	0	root
15	,	PUNCT	19	punct
16	která	DET	19	nsubj
17	je	AUX	19	cop
18	však	CCONJ	19	cc
19	významná	ADJ	14	acl:relcl
20	z	ADP	22	case
21	hlediska	NOUN	20	fixed
22	prestiže	NOUN	19	obl
23	armády	NOUN	22	nmod
24	v	ADP	25	case
25	očích	NOUN	22	nmod
26	veřejnosti	NOUN	25	nmod
27	.	PUNCT	14	punct