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:
Nyní jedna Srbka, intelektuálka a bývalá komunistická tajemnice, kterou Tito v roce 1972 sesadil kvůli "liberalismu", načrtla psychologickou situaci svých krajanů.
Postion	Tokenization
1	Nyní
2	jedna
3	Srbka
4	,
5	intelektuálka
6	a
7	bývalá
8	komunistická
9	tajemnice
10	,
11	kterou
12	Tito
13	v
14	roce
15	1972
16	sesadil
17	kvůli
18	"
19	liberalismu
20	"
21	,
22	načrtla
23	psychologickou
24	situaci
25	svých
26	krajanů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nyní	ADV	22	advmod
2	jedna	NUM	3	nummod
3	Srbka	PROPN	22	nsubj
4	,	PUNCT	5	punct
5	intelektuálka	NOUN	3	appos
6	a	CCONJ	9	cc
7	bývalá	ADJ	9	amod
8	komunistická	ADJ	9	amod
9	tajemnice	NOUN	5	conj
10	,	PUNCT	16	punct
11	kterou	DET	16	obj
12	Tito	PROPN	16	nsubj
13	v	ADP	14	case
14	roce	NOUN	16	obl
15	1972	NUM	14	nummod
16	sesadil	VERB	3	acl:relcl
17	kvůli	ADP	19	case
18	"	PUNCT	19	punct
19	liberalismu	NOUN	16	obl
20	"	PUNCT	19	punct
21	,	PUNCT	16	punct
22	načrtla	VERB	0	root
23	psychologickou	ADJ	24	amod
24	situaci	NOUN	22	obj
25	svých	DET	26	det
26	krajanů	NOUN	24	nmod
27	.	PUNCT	22	punct