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: Z každého přehledu českého středověkého malířství by se Mahler dozvěděl, že svatovítský veraikon nezobrazuje zkrvavenou tvář Kristovu, ale její údajnou pravou, "rukou neutvořenou" podobu (Mandylion).
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	každého	DET	3	det
3	přehledu	NOUN	10	obl
4	českého	ADJ	6	amod
5	středověkého	ADJ	6	amod
6	malířství	NOUN	3	nmod
7	by	AUX	10	aux
8	se	PRON	10	expl:pv
9	Mahler	PROPN	10	nsubj
10	dozvěděl	VERB	0	root
11	,	PUNCT	15	punct
12	že	SCONJ	15	mark
13	svatovítský	ADJ	14	amod
14	veraikon	NOUN	15	nsubj
15	nezobrazuje	VERB	10	ccomp
16	zkrvavenou	ADJ	17	amod
17	tvář	NOUN	15	obj
18	Kristovu	ADJ	17	amod
19	,	PUNCT	29	punct
20	ale	CCONJ	29	cc
21	její	DET	29	det
22	údajnou	ADJ	21	conj
23	pravou	ADJ	21	conj
24	,	PUNCT	27	punct
25	"	PUNCT	27	punct
26	rukou	NOUN	27	obl
27	neutvořenou	ADJ	21	conj
28	"	PUNCT	27	punct
29	podobu	NOUN	17	conj
30	(	PUNCT	29	punct
31	Mandylion	NOUN	29	dep
32	)	PUNCT	29	punct
33	.	PUNCT	10	punct