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:
Richard Harper and Mary Nell Browning may have some ideas here but I am sure you've already gone through it with them.
Postion	Tokenization
1	Richard
2	Harper
3	and
4	Mary
5	Nell
6	Browning
7	may
8	have
9	some
10	ideas
11	here
12	but
13	I
14	am
15	sure
16	you've
17	you
18	've
19	already
20	gone
21	through
22	it
23	with
24	them
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Richard	PROPN	8	nsubj
2	Harper	PROPN	1	flat
3	and	CCONJ	4	cc
4	Mary	PROPN	1	conj
5	Nell	PROPN	4	flat
6	Browning	PROPN	4	flat
7	may	AUX	8	aux
8	have	VERB	0	root
9	some	DET	10	det
10	ideas	NOUN	8	obj
11	here	ADV	8	advmod
12	but	CCONJ	15	cc
13	I	PRON	15	nsubj
14	am	AUX	15	cop
15	sure	ADJ	8	conj
16	you've	_	None	_
17	you	PRON	19	nsubj
18	've	AUX	19	aux
19	already	ADV	19	advmod
20	gone	VERB	15	ccomp
21	through	ADP	21	case
22	it	PRON	19	obl
23	with	ADP	23	case
24	them	PRON	19	obl
25	.	PUNCT	8	punct