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:
<<Doctor RODERIGO LOPEZ (1525 -1594) was the Portugese Jewish doctor accused by Essex of trying to poison Queen Elizabeth.
Postion	Tokenization
1	<<
2	Doctor
3	RODERIGO
4	LOPEZ
5	(
6	1525
7	-
8	1594
9	)
10	was
11	the
12	Portugese
13	Jewish
14	doctor
15	accused
16	by
17	Essex
18	of
19	trying
20	to
21	poison
22	Queen
23	Elizabeth
24	.
Position	Tokenization	UPOS	Head	Deprel
1	<<	PUNCT	14	punct
2	Doctor	PROPN	14	nsubj
3	RODERIGO	PROPN	2	flat
4	LOPEZ	PROPN	2	flat
5	(	PUNCT	6	punct
6	1525	NUM	2	nmod:npmod
7	-	SYM	8	case
8	1594	NUM	6	nmod
9	)	PUNCT	6	punct
10	was	AUX	14	cop
11	the	DET	14	det
12	Portugese	ADJ	14	amod
13	Jewish	ADJ	14	amod
14	doctor	NOUN	0	root
15	accused	VERB	14	acl
16	by	ADP	17	case
17	Essex	PROPN	15	obl
18	of	SCONJ	19	mark
19	trying	VERB	15	advcl
20	to	PART	21	mark
21	poison	VERB	19	xcomp
22	Queen	PROPN	21	obj
23	Elizabeth	PROPN	22	flat
24	.	PUNCT	14	punct