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:
Dobříšský zámek, který letos v létě přešel do majetku Státního fondu kultury, má být podle informací LN pronajat Akademii Dobříš, respektive Nadaci Českého námořního divadla.
Postion	Tokenization
1	Dobříšský
2	zámek
3	,
4	který
5	letos
6	v
7	létě
8	přešel
9	do
10	majetku
11	Státního
12	fondu
13	kultury
14	,
15	má
16	být
17	podle
18	informací
19	LN
20	pronajat
21	Akademii
22	Dobříš
23	,
24	respektive
25	Nadaci
26	Českého
27	námořního
28	divadla
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Dobříšský	ADJ	2	amod
2	zámek	NOUN	15	nsubj
3	,	PUNCT	8	punct
4	který	DET	8	nsubj
5	letos	ADV	8	advmod
6	v	ADP	7	case
7	létě	NOUN	8	obl
8	přešel	VERB	2	acl:relcl
9	do	ADP	10	case
10	majetku	NOUN	8	obl
11	Státního	ADJ	12	amod
12	fondu	NOUN	10	nmod
13	kultury	NOUN	12	nmod
14	,	PUNCT	8	punct
15	má	VERB	0	root
16	být	AUX	20	aux:pass
17	podle	ADP	18	case
18	informací	NOUN	15	obl
19	LN	PROPN	18	nmod
20	pronajat	ADJ	15	obj
21	Akademii	NOUN	20	obl:arg
22	Dobříš	PROPN	21	nmod
23	,	PUNCT	25	punct
24	respektive	ADV	25	cc
25	Nadaci	NOUN	21	appos
26	Českého	ADJ	28	amod
27	námořního	ADJ	28	amod
28	divadla	NOUN	25	nmod
29	.	PUNCT	15	punct