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:
We trust and appreciate Scott Larson and know that he will always take good care of us and listen to our needs!
Postion	Tokenization
1	We
2	trust
3	and
4	appreciate
5	Scott
6	Larson
7	and
8	know
9	that
10	he
11	will
12	always
13	take
14	good
15	care
16	of
17	us
18	and
19	listen
20	to
21	our
22	needs
23	!
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	trust	VERB	0	root
3	and	CCONJ	4	cc
4	appreciate	VERB	2	conj
5	Scott	PROPN	2	obj
6	Larson	PROPN	5	flat
7	and	CCONJ	8	cc
8	know	VERB	2	conj
9	that	SCONJ	13	mark
10	he	PRON	13	nsubj
11	will	AUX	13	aux
12	always	ADV	13	advmod
13	take	VERB	8	ccomp
14	good	ADJ	15	amod
15	care	NOUN	13	obj
16	of	ADP	17	case
17	us	PRON	13	obl
18	and	CCONJ	19	cc
19	listen	VERB	13	conj
20	to	ADP	22	case
21	our	PRON	22	nmod:poss
22	needs	NOUN	19	obl
23	!	PUNCT	2	punct