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 text: Soudní znalec včera uvedl, že mezi zfalšovanými záznamy na katastrálním úřadě je i ten, kde je s vročením 1953 vlastnictví nemovitostí připsáno Martě Zelinkové (první jméno M. Chadimové).
Position	Tokenization	UPOS	Head	Deprel
1	Soudní	ADJ	2	amod
2	znalec	NOUN	4	nsubj
3	včera	ADV	4	advmod
4	uvedl	VERB	0	root
5	,	PUNCT	13	punct
6	že	SCONJ	13	mark
7	mezi	ADP	9	case
8	zfalšovanými	ADJ	9	amod
9	záznamy	NOUN	13	obl
10	na	ADP	12	case
11	katastrálním	ADJ	12	amod
12	úřadě	NOUN	9	nmod
13	je	VERB	4	ccomp
14	i	CCONJ	15	advmod:emph
15	ten	DET	13	nsubj
16	,	PUNCT	24	punct
17	kde	ADV	24	advmod
18	je	AUX	24	cop
19	s	ADP	20	case
20	vročením	NOUN	24	obl
21	1953	NUM	20	nummod
22	vlastnictví	NOUN	24	nsubj
23	nemovitostí	NOUN	22	nmod
24	připsáno	ADJ	15	acl:relcl
25	Martě	PROPN	24	obl:arg
26	Zelinkové	PROPN	25	flat
27	(	PUNCT	25	punct
28	první	ADJ	29	amod
29	jméno	NOUN	25	dep
30	M	PROPN	29	nmod
31	.	PUNCT	30	punct
32	Chadimové	PROPN	30	flat
33	)	PUNCT	25	punct
34	.	PUNCT	4	punct