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: Pražský stavební podnik se i nadále hodlá soustřeďovat především na rekonstrukce zejména památkových objektů i celých areálů, jako je například komplex budov Týnského dvora - Ungelt nedaleko Staroměstského náměstí.
Position	Tokenization	UPOS	Head	Deprel
1	Pražský	ADJ	3	amod
2	stavební	ADJ	3	amod
3	podnik	NOUN	7	nsubj
4	se	PRON	8	expl:pv
5	i	CCONJ	6	advmod:emph
6	nadále	ADV	7	advmod
7	hodlá	VERB	0	root
8	soustřeďovat	VERB	7	xcomp
9	především	ADV	11	advmod:emph
10	na	ADP	11	case
11	rekonstrukce	NOUN	8	obl:arg
12	zejména	ADV	14	advmod:emph
13	památkových	ADJ	14	amod
14	objektů	NOUN	11	nmod
15	i	CCONJ	17	cc
16	celých	ADJ	17	amod
17	areálů	NOUN	14	conj
18	,	PUNCT	20	punct
19	jako	SCONJ	20	mark
20	je	VERB	17	acl
21	například	ADV	22	advmod:emph
22	komplex	NOUN	20	nsubj
23	budov	NOUN	22	nmod
24	Týnského	ADJ	25	amod
25	dvora	NOUN	23	nmod
26	-	PUNCT	27	punct
27	Ungelt	PROPN	22	appos
28	nedaleko	ADV	30	case
29	Staroměstského	ADJ	30	amod
30	náměstí	NOUN	27	nmod
31	.	PUNCT	7	punct