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:
Ta však zdědila po komunistickém režimu rozvrácenou infrastrukturu, přestárlou, s obtížemi fungující dopravu, zchátralý bytový fond i finančně náročné řešení ekologických problémů.
Postion	Tokenization
1	Ta
2	však
3	zdědila
4	po
5	komunistickém
6	režimu
7	rozvrácenou
8	infrastrukturu
9	,
10	přestárlou
11	,
12	s
13	obtížemi
14	fungující
15	dopravu
16	,
17	zchátralý
18	bytový
19	fond
20	i
21	finančně
22	náročné
23	řešení
24	ekologických
25	problémů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ta	DET	3	nsubj
2	však	CCONJ	3	cc
3	zdědila	VERB	0	root
4	po	ADP	6	case
5	komunistickém	ADJ	6	amod
6	režimu	NOUN	3	obl:arg
7	rozvrácenou	ADJ	8	amod
8	infrastrukturu	NOUN	3	obj
9	,	PUNCT	15	punct
10	přestárlou	ADJ	15	amod
11	,	PUNCT	14	punct
12	s	ADP	13	case
13	obtížemi	NOUN	14	obl
14	fungující	ADJ	10	conj
15	dopravu	NOUN	8	conj
16	,	PUNCT	19	punct
17	zchátralý	ADJ	19	amod
18	bytový	ADJ	19	amod
19	fond	NOUN	8	conj
20	i	CCONJ	23	cc
21	finančně	ADV	22	advmod
22	náročné	ADJ	23	amod
23	řešení	NOUN	8	conj
24	ekologických	ADJ	25	amod
25	problémů	NOUN	23	nmod
26	.	PUNCT	3	punct