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: Živě se pamatuji, jak mi moje kanadská přítelkyně Markéta (které vděčím za většinu těch knih) poslala knížku G. Zukava s podivným názvem "The Dancing Wu Li Masters" a s neskromným podtitulem "An Overview of the New Physics".
Position	Tokenization	UPOS	Head	Deprel
1	Živě	ADV	3	advmod
2	se	PRON	3	expl:pv
3	pamatuji	VERB	0	root
4	,	PUNCT	19	punct
5	jak	ADV	19	mark
6	mi	PRON	19	obl:arg
7	moje	DET	9	det
8	kanadská	ADJ	9	amod
9	přítelkyně	NOUN	19	nsubj
10	Markéta	PROPN	9	flat
11	(	PUNCT	13	punct
12	které	DET	13	obl:arg
13	vděčím	VERB	9	parataxis
14	za	ADP	15	case
15	většinu	NOUN	13	obl:arg
16	těch	DET	17	det
17	knih	NOUN	15	nmod
18	)	PUNCT	13	punct
19	poslala	VERB	3	ccomp
20	knížku	NOUN	19	obj
21	G	PROPN	20	nmod
22	.	PUNCT	21	punct
23	Zukava	PROPN	21	flat
24	s	ADP	26	case
25	podivným	ADJ	26	amod
26	názvem	NOUN	20	nmod
27	"	PUNCT	28	punct
28	The	ADJ	26	nmod
29	Dancing	NOUN	28	flat:foreign
30	Wu	PROPN	28	nmod
31	Li	PROPN	30	flat
32	Masters	NOUN	28	flat:foreign
33	"	PUNCT	28	punct
34	a	CCONJ	37	cc
35	s	ADP	37	case
36	neskromným	ADJ	37	amod
37	podtitulem	NOUN	26	conj
38	"	PUNCT	39	punct
39	An	ADJ	37	nmod
40	Overview	NOUN	39	flat:foreign
41	of	ADP	39	flat:foreign
42	the	ADJ	39	flat:foreign
43	New	ADJ	39	flat:foreign
44	Physics	NOUN	39	flat:foreign
45	"	PUNCT	39	punct
46	.	PUNCT	3	punct