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:
Expozice přiblíží rovněž portréty Masaryka, originály děl, která byla součástí interiéru jeho pracoven, a dokumenty, prozrazující Masarykův vztah k umění i k umělcům.
Postion	Tokenization
1	Expozice
2	přiblíží
3	rovněž
4	portréty
5	Masaryka
6	,
7	originály
8	děl
9	,
10	která
11	byla
12	součástí
13	interiéru
14	jeho
15	pracoven
16	,
17	a
18	dokumenty
19	,
20	prozrazující
21	Masarykův
22	vztah
23	k
24	umění
25	i
26	k
27	umělcům
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Expozice	NOUN	2	nsubj
2	přiblíží	VERB	0	root
3	rovněž	ADV	2	advmod
4	portréty	NOUN	2	obj
5	Masaryka	PROPN	4	nmod
6	,	PUNCT	7	punct
7	originály	NOUN	4	conj
8	děl	NOUN	7	nmod
9	,	PUNCT	12	punct
10	která	DET	12	nsubj
11	byla	AUX	12	cop
12	součástí	NOUN	8	acl:relcl
13	interiéru	NOUN	12	nmod
14	jeho	DET	15	det
15	pracoven	NOUN	13	nmod
16	,	PUNCT	18	punct
17	a	CCONJ	18	cc
18	dokumenty	NOUN	4	conj
19	,	PUNCT	20	punct
20	prozrazující	ADJ	18	amod
21	Masarykův	ADJ	22	amod
22	vztah	NOUN	20	obj
23	k	ADP	24	case
24	umění	NOUN	22	nmod
25	i	CCONJ	27	cc
26	k	ADP	27	case
27	umělcům	NOUN	24	conj
28	.	PUNCT	2	punct