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:
Joe removed a wasp nest for our condominium building and we appreciated the environmentally friendly method and prompt, friendly and informative service.
Postion	Tokenization
1	Joe
2	removed
3	a
4	wasp
5	nest
6	for
7	our
8	condominium
9	building
10	and
11	we
12	appreciated
13	the
14	environmentally
15	friendly
16	method
17	and
18	prompt
19	,
20	friendly
21	and
22	informative
23	service
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Joe	PROPN	2	nsubj
2	removed	VERB	0	root
3	a	DET	5	det
4	wasp	NOUN	5	compound
5	nest	NOUN	2	obj
6	for	ADP	9	case
7	our	PRON	9	nmod:poss
8	condominium	NOUN	9	compound
9	building	NOUN	2	obl
10	and	CCONJ	12	cc
11	we	PRON	12	nsubj
12	appreciated	VERB	2	conj
13	the	DET	16	det
14	environmentally	ADV	15	advmod
15	friendly	ADJ	16	amod
16	method	NOUN	12	obj
17	and	CCONJ	23	cc
18	prompt	ADJ	23	amod
19	,	PUNCT	20	punct
20	friendly	ADJ	18	conj
21	and	CCONJ	22	cc
22	informative	ADJ	18	conj
23	service	NOUN	16	conj
24	.	PUNCT	2	punct