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:
Vždy jsem žil z nostalgie zpětné vzpomínky na města, v nichž jsem delší dobu pobýval, na Moskvu, Limu, Paříž, Benátky - a vím jistě, že Praha mě poznamená.
Postion	Tokenization
1	Vždy
2	jsem
3	žil
4	z
5	nostalgie
6	zpětné
7	vzpomínky
8	na
9	města
10	,
11	v
12	nichž
13	jsem
14	delší
15	dobu
16	pobýval
17	,
18	na
19	Moskvu
20	,
21	Limu
22	,
23	Paříž
24	,
25	Benátky
26	-
27	a
28	vím
29	jistě
30	,
31	že
32	Praha
33	mě
34	poznamená
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Vždy	ADV	3	advmod
2	jsem	AUX	3	aux
3	žil	VERB	0	root
4	z	ADP	5	case
5	nostalgie	NOUN	3	obl:arg
6	zpětné	ADJ	7	amod
7	vzpomínky	NOUN	5	nmod
8	na	ADP	9	case
9	města	NOUN	7	nmod
10	,	PUNCT	16	punct
11	v	ADP	12	case
12	nichž	PRON	16	obl
13	jsem	AUX	16	aux
14	delší	ADJ	15	amod
15	dobu	NOUN	16	obl
16	pobýval	VERB	9	acl:relcl
17	,	PUNCT	19	punct
18	na	ADP	19	case
19	Moskvu	PROPN	9	appos
20	,	PUNCT	21	punct
21	Limu	PROPN	19	conj
22	,	PUNCT	23	punct
23	Paříž	PROPN	19	conj
24	,	PUNCT	25	punct
25	Benátky	PROPN	19	conj
26	-	PUNCT	28	punct
27	a	CCONJ	28	cc
28	vím	VERB	3	conj
29	jistě	ADV	28	advmod
30	,	PUNCT	34	punct
31	že	SCONJ	34	mark
32	Praha	PROPN	34	nsubj
33	mě	PRON	34	obj
34	poznamená	VERB	28	ccomp
35	.	PUNCT	3	punct