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:
Historické objekty v Praze před velkými zásahy a neuváženými modernizacemi uchránil v minulém čtyřicetiletí nedostatek peněz, uvedla ing. arch. Dagmar Sedláková z Pražského ústavu památkové péče.
Postion	Tokenization
1	Historické
2	objekty
3	v
4	Praze
5	před
6	velkými
7	zásahy
8	a
9	neuváženými
10	modernizacemi
11	uchránil
12	v
13	minulém
14	čtyřicetiletí
15	nedostatek
16	peněz
17	,
18	uvedla
19	ing
20	.
21	arch
22	.
23	Dagmar
24	Sedláková
25	z
26	Pražského
27	ústavu
28	památkové
29	péče
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Historické	ADJ	2	amod
2	objekty	NOUN	11	obj
3	v	ADP	4	case
4	Praze	PROPN	2	nmod
5	před	ADP	7	case
6	velkými	ADJ	7	amod
7	zásahy	NOUN	11	obl:arg
8	a	CCONJ	10	cc
9	neuváženými	ADJ	10	amod
10	modernizacemi	NOUN	7	conj
11	uchránil	VERB	18	ccomp
12	v	ADP	14	case
13	minulém	ADJ	14	amod
14	čtyřicetiletí	NOUN	11	obl
15	nedostatek	NOUN	11	nsubj
16	peněz	NOUN	15	nmod
17	,	PUNCT	11	punct
18	uvedla	VERB	0	root
19	ing	NOUN	23	nmod
20	.	PUNCT	19	punct
21	arch	NOUN	23	nmod
22	.	PUNCT	21	punct
23	Dagmar	PROPN	18	nsubj
24	Sedláková	PROPN	23	flat
25	z	ADP	27	case
26	Pražského	ADJ	27	amod
27	ústavu	NOUN	23	nmod
28	památkové	ADJ	29	amod
29	péče	NOUN	27	nmod
30	.	PUNCT	18	punct