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:
V jeho třetí čtvrtině k nim přibyl dnes už téměř zcela vyvrácený chrám v Klášterní Skalici, budovaný snad podle návrhu Matyáše z Arrasu příslušníky jeho huti
Postion	Tokenization
1	V
2	jeho
3	třetí
4	čtvrtině
5	k
6	nim
7	přibyl
8	dnes
9	už
10	téměř
11	zcela
12	vyvrácený
13	chrám
14	v
15	Klášterní
16	Skalici
17	,
18	budovaný
19	snad
20	podle
21	návrhu
22	Matyáše
23	z
24	Arrasu
25	příslušníky
26	jeho
27	huti
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	jeho	DET	4	det
3	třetí	ADJ	4	amod
4	čtvrtině	NUM	7	obl
5	k	ADP	6	case
6	nim	PRON	7	obl
7	přibyl	VERB	0	root
8	dnes	ADV	12	advmod
9	už	ADV	12	advmod:emph
10	téměř	ADV	12	advmod:emph
11	zcela	ADV	12	advmod
12	vyvrácený	ADJ	13	amod
13	chrám	NOUN	7	nsubj
14	v	ADP	16	case
15	Klášterní	ADJ	16	amod
16	Skalici	PROPN	13	nmod
17	,	PUNCT	18	punct
18	budovaný	ADJ	13	amod
19	snad	ADV	18	cc
20	podle	ADP	21	case
21	návrhu	NOUN	18	obl
22	Matyáše	PROPN	21	nmod
23	z	ADP	24	case
24	Arrasu	PROPN	22	nmod
25	příslušníky	NOUN	18	obl:arg
26	jeho	DET	27	det
27	huti	NOUN	25	nmod