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:
Podle Františka Šimona z Pražského stavebního podniku k zajímavým akcím pro ně v loňském roce patřilo dokončení obnovy pláště kostela sv. Ignáce na Karlově náměstí v Praze.
Postion	Tokenization
1	Podle
2	Františka
3	Šimona
4	z
5	Pražského
6	stavebního
7	podniku
8	k
9	zajímavým
10	akcím
11	pro
12	ně
13	v
14	loňském
15	roce
16	patřilo
17	dokončení
18	obnovy
19	pláště
20	kostela
21	sv
22	.
23	Ignáce
24	na
25	Karlově
26	náměstí
27	v
28	Praze
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Františka	PROPN	16	obl
3	Šimona	PROPN	2	flat
4	z	ADP	7	case
5	Pražského	ADJ	7	amod
6	stavebního	ADJ	7	amod
7	podniku	NOUN	2	nmod
8	k	ADP	10	case
9	zajímavým	ADJ	10	amod
10	akcím	NOUN	16	obl
11	pro	ADP	12	case
12	ně	PRON	16	obl
13	v	ADP	15	case
14	loňském	ADJ	15	amod
15	roce	NOUN	16	obl
16	patřilo	VERB	0	root
17	dokončení	NOUN	16	nsubj
18	obnovy	NOUN	17	nmod
19	pláště	NOUN	18	nmod
20	kostela	NOUN	19	nmod
21	sv	ADJ	23	amod
22	.	PUNCT	21	punct
23	Ignáce	PROPN	20	nmod
24	na	ADP	26	case
25	Karlově	ADJ	26	amod
26	náměstí	NOUN	20	nmod
27	v	ADP	28	case
28	Praze	PROPN	26	nmod
29	.	PUNCT	16	punct