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:
Jsem rád, že tak mohu učinit na místě, které víc než kterékoli jiné připomíná staletou intelektuální koexistenci Čechů a Němců: na akademické půdě Univerzity Karlovy.
Postion	Tokenization
1	Jsem
2	rád
3	,
4	že
5	tak
6	mohu
7	učinit
8	na
9	místě
10	,
11	které
12	víc
13	než
14	kterékoli
15	jiné
16	připomíná
17	staletou
18	intelektuální
19	koexistenci
20	Čechů
21	a
22	Němců
23	:
24	na
25	akademické
26	půdě
27	Univerzity
28	Karlovy
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jsem	AUX	2	cop
2	rád	ADJ	0	root
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	tak	ADV	6	advmod
6	mohu	VERB	2	ccomp
7	učinit	VERB	6	xcomp
8	na	ADP	9	case
9	místě	NOUN	6	obl
10	,	PUNCT	16	punct
11	které	DET	16	nsubj
12	víc	ADV	16	advmod
13	než	SCONJ	14	mark
14	kterékoli	DET	12	advcl
15	jiné	ADJ	14	advcl
16	připomíná	VERB	9	acl:relcl
17	staletou	ADJ	19	amod
18	intelektuální	ADJ	19	amod
19	koexistenci	NOUN	16	obj
20	Čechů	PROPN	19	nmod
21	a	CCONJ	22	cc
22	Němců	PROPN	20	conj
23	:	PUNCT	26	punct
24	na	ADP	26	case
25	akademické	ADJ	26	amod
26	půdě	NOUN	9	appos
27	Univerzity	NOUN	26	nmod
28	Karlovy	ADJ	27	amod
29	.	PUNCT	2	punct