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:
<<In "Love's Labour's Lost" we find a character Don Adriana de Armatho, full of affection and bombast.
Postion	Tokenization
1	<<
2	In
3	"
4	Love
5	's
6	Labour's
7	Labour
8	's
9	Lost
10	"
11	we
12	find
13	a
14	character
15	Don
16	Adriana
17	de
18	Armatho
19	,
20	full
21	of
22	affection
23	and
24	bombast
25	.
Position	Tokenization	UPOS	Head	Deprel
1	<<	PUNCT	11	punct
2	In	SCONJ	8	mark
3	"	PUNCT	8	punct
4	Love	PROPN	6	nmod:poss
5	's	PART	4	case
6	Labour's	_	None	_
7	Labour	PROPN	8	nsubj:pass
8	's	AUX	8	aux:pass
9	Lost	VERB	11	advcl
10	"	PUNCT	8	punct
11	we	PRON	11	nsubj
12	find	VERB	0	root
13	a	DET	13	det
14	character	NOUN	11	obj
15	Don	PROPN	13	appos
16	Adriana	PROPN	14	flat
17	de	PROPN	14	flat
18	Armatho	PROPN	14	flat
19	,	PUNCT	13	punct
20	full	ADJ	13	amod
21	of	ADP	21	case
22	affection	NOUN	19	obl
23	and	CCONJ	23	cc
24	bombast	NOUN	21	conj
25	.	PUNCT	11	punct