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:
Předem jsem věděl z Mnichova od Reinische, z diskuse s posluchači z Würzburku, ze zpráv z Frankfurtu a z tisku, jakou povahu ony i demonstranti měli.
Postion	Tokenization
1	Předem
2	jsem
3	věděl
4	z
5	Mnichova
6	od
7	Reinische
8	,
9	z
10	diskuse
11	s
12	posluchači
13	z
14	Würzburku
15	,
16	ze
17	zpráv
18	z
19	Frankfurtu
20	a
21	z
22	tisku
23	,
24	jakou
25	povahu
26	ony
27	i
28	demonstranti
29	měli
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Předem	ADV	3	advmod
2	jsem	AUX	3	aux
3	věděl	VERB	0	root
4	z	ADP	5	case
5	Mnichova	PROPN	3	obl
6	od	ADP	7	case
7	Reinische	PROPN	3	obl:arg
8	,	PUNCT	10	punct
9	z	ADP	10	case
10	diskuse	NOUN	3	obl
11	s	ADP	12	case
12	posluchači	NOUN	10	nmod
13	z	ADP	14	case
14	Würzburku	PROPN	12	nmod
15	,	PUNCT	17	punct
16	ze	ADP	17	case
17	zpráv	NOUN	10	conj
18	z	ADP	19	case
19	Frankfurtu	PROPN	17	nmod
20	a	CCONJ	22	cc
21	z	ADP	22	case
22	tisku	NOUN	19	conj
23	,	PUNCT	29	punct
24	jakou	DET	25	det
25	povahu	NOUN	29	obj
26	ony	PRON	29	nsubj
27	i	CCONJ	28	cc
28	demonstranti	NOUN	26	conj
29	měli	VERB	3	ccomp
30	.	PUNCT	3	punct