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: Na Harvardu, kde tento třešťský rodák učil od raných třicátých let až do své smrti, kolovala autobiografická poznámka: Chtěl jsem být největším ekonomem na světě, největším milencem na světě a největším jezdcem na světě.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	Harvardu	PROPN	18	obl
3	,	PUNCT	8	punct
4	kde	ADV	8	advmod
5	tento	DET	7	det
6	třešťský	ADJ	7	amod
7	rodák	NOUN	8	nsubj
8	učil	VERB	2	acl:relcl
9	od	ADP	12	case
10	raných	ADJ	12	amod
11	třicátých	ADJ	12	amod
12	let	NOUN	8	obl
13	až	PART	16	advmod:emph
14	do	ADP	16	case
15	své	DET	16	det
16	smrti	NOUN	8	obl
17	,	PUNCT	8	punct
18	kolovala	VERB	0	root
19	autobiografická	ADJ	20	amod
20	poznámka	NOUN	18	nsubj
21	:	PUNCT	22	punct
22	Chtěl	VERB	20	acl
23	jsem	AUX	22	aux
24	být	AUX	26	cop
25	největším	ADJ	26	amod
26	ekonomem	NOUN	22	xcomp
27	na	ADP	28	case
28	světě	NOUN	25	obl
29	,	PUNCT	31	punct
30	největším	ADJ	31	amod
31	milencem	NOUN	26	conj
32	na	ADP	33	case
33	světě	NOUN	30	obl
34	a	CCONJ	36	cc
35	největším	ADJ	36	amod
36	jezdcem	NOUN	26	conj
37	na	ADP	38	case
38	světě	NOUN	35	obl
39	.	PUNCT	18	punct