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:
The term renaissance is in essence a modern one that came into currency in the 19th century, in the work of historians such as Jacob Burckhardt.
Postion	Tokenization
1	The
2	term
3	renaissance
4	is
5	in
6	essence
7	a
8	modern
9	one
10	that
11	came
12	into
13	currency
14	in
15	the
16	19th
17	century
18	,
19	in
20	the
21	work
22	of
23	historians
24	such
25	as
26	Jacob
27	Burckhardt
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	term	NOUN	3	compound
3	renaissance	PROPN	9	nsubj
4	is	AUX	9	cop
5	in	ADP	6	case
6	essence	NOUN	9	obl
7	a	DET	9	det
8	modern	ADJ	9	amod
9	one	NOUN	0	root
10	that	PRON	11	nsubj
11	came	VERB	9	acl:relcl
12	into	ADP	13	case
13	currency	NOUN	11	obl
14	in	ADP	17	case
15	the	DET	17	det
16	19th	ADJ	17	amod
17	century	NOUN	11	obl
18	,	PUNCT	11	punct
19	in	ADP	21	case
20	the	DET	21	det
21	work	NOUN	11	obl
22	of	ADP	23	case
23	historians	NOUN	21	nmod
24	such	ADJ	26	case
25	as	ADP	24	fixed
26	Jacob	PROPN	23	nmod
27	Burckhardt	PROPN	26	flat
28	.	PUNCT	9	punct