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 purchased a new home but was unable to sell our old house so we contacted this property management company and they have helped us quickly rent out our house and keep it maintained.
Postion	Tokenization
1	we
2	purchased
3	a
4	new
5	home
6	but
7	was
8	unable
9	to
10	sell
11	our
12	old
13	house
14	so
15	we
16	contacted
17	this
18	property
19	management
20	company
21	and
22	they
23	have
24	helped
25	us
26	quickly
27	rent
28	out
29	our
30	house
31	and
32	keep
33	it
34	maintained
35	.
Position	Tokenization	UPOS	Head	Deprel
1	we	PRON	2	nsubj
2	purchased	VERB	0	root
3	a	DET	5	det
4	new	ADJ	5	amod
5	home	NOUN	2	obj
6	but	CCONJ	8	cc
7	was	AUX	8	cop
8	unable	ADJ	2	conj
9	to	PART	10	mark
10	sell	VERB	8	xcomp
11	our	PRON	13	nmod:poss
12	old	ADJ	13	amod
13	house	NOUN	10	obj
14	so	ADV	16	advmod
15	we	PRON	16	nsubj
16	contacted	VERB	2	conj
17	this	DET	20	det
18	property	NOUN	19	compound
19	management	NOUN	20	compound
20	company	NOUN	16	obj
21	and	CCONJ	24	cc
22	they	PRON	24	nsubj
23	have	AUX	24	aux
24	helped	VERB	16	conj
25	us	PRON	24	obj
26	quickly	ADV	27	advmod
27	rent	VERB	24	xcomp
28	out	ADP	27	compound:prt
29	our	PRON	30	nmod:poss
30	house	NOUN	27	obj
31	and	CCONJ	32	cc
32	keep	VERB	27	conj
33	it	PRON	32	obj
34	maintained	VERB	32	xcomp
35	.	PUNCT	2	punct