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:
I'm more than happy to help people with the site or answer any questions about Action Network - just drop me a message.
Postion	Tokenization
1	I'm
2	I
3	'm
4	more
5	than
6	happy
7	to
8	help
9	people
10	with
11	the
12	site
13	or
14	answer
15	any
16	questions
17	about
18	Action
19	Network
20	-
21	just
22	drop
23	me
24	a
25	message
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	3	nsubj
3	'm	AUX	3	cop
4	more	ADJ	0	root
5	than	ADP	5	case
6	happy	ADJ	3	obl
7	to	PART	7	mark
8	help	VERB	5	advcl
9	people	NOUN	7	obj
10	with	ADP	11	case
11	the	DET	11	det
12	site	NOUN	7	obl
13	or	CCONJ	13	cc
14	answer	VERB	7	conj
15	any	DET	15	det
16	questions	NOUN	13	obj
17	about	ADP	18	case
18	Action	PROPN	18	compound
19	Network	PROPN	15	nmod
20	-	PUNCT	3	punct
21	just	ADV	21	advmod
22	drop	VERB	3	parataxis
23	me	PRON	21	iobj
24	a	DET	24	det
25	message	NOUN	21	obj
26	.	PUNCT	3	punct