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:
Privatizační projekt na obnovení této farmy, jejíž budovy a část pozemků se nacházejí přímo v areálu léčebny, počítá s jejím převedením do majetku města.
Postion	Tokenization
1	Privatizační
2	projekt
3	na
4	obnovení
5	této
6	farmy
7	,
8	jejíž
9	budovy
10	a
11	část
12	pozemků
13	se
14	nacházejí
15	přímo
16	v
17	areálu
18	léčebny
19	,
20	počítá
21	s
22	jejím
23	převedením
24	do
25	majetku
26	města
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Privatizační	ADJ	2	amod
2	projekt	NOUN	20	nsubj
3	na	ADP	4	case
4	obnovení	NOUN	2	nmod
5	této	DET	6	det
6	farmy	NOUN	4	nmod
7	,	PUNCT	14	punct
8	jejíž	DET	9	det
9	budovy	NOUN	14	nsubj
10	a	CCONJ	11	cc
11	část	NOUN	9	conj
12	pozemků	NOUN	11	nmod
13	se	PRON	14	expl:pv
14	nacházejí	VERB	6	acl:relcl
15	přímo	ADV	17	advmod:emph
16	v	ADP	17	case
17	areálu	NOUN	14	obl
18	léčebny	NOUN	17	nmod
19	,	PUNCT	14	punct
20	počítá	VERB	0	root
21	s	ADP	23	case
22	jejím	DET	23	det
23	převedením	NOUN	20	obl:arg
24	do	ADP	25	case
25	majetku	NOUN	23	nmod
26	města	NOUN	25	nmod
27	.	PUNCT	20	punct