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 just happen to stumble across this little restaurant one day when we had to visit the Bexar County Tax Office off of Bandera Road.
Postion	Tokenization
1	We
2	just
3	happen
4	to
5	stumble
6	across
7	this
8	little
9	restaurant
10	one
11	day
12	when
13	we
14	had
15	to
16	visit
17	the
18	Bexar
19	County
20	Tax
21	Office
22	off
23	of
24	Bandera
25	Road
26	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	just	ADV	3	advmod
3	happen	VERB	0	root
4	to	PART	5	mark
5	stumble	VERB	3	xcomp
6	across	ADP	9	case
7	this	DET	9	det
8	little	ADJ	9	amod
9	restaurant	NOUN	5	obl
10	one	NUM	11	nummod
11	day	NOUN	5	obl:tmod
12	when	SCONJ	14	mark
13	we	PRON	14	nsubj
14	had	VERB	5	advcl
15	to	PART	16	mark
16	visit	VERB	14	xcomp
17	the	DET	21	det
18	Bexar	PROPN	19	compound
19	County	PROPN	21	compound
20	Tax	PROPN	21	compound
21	Office	PROPN	16	obj
22	off	ADP	25	case
23	of	ADP	25	case
24	Bandera	PROPN	25	compound
25	Road	PROPN	21	nmod
26	.	PUNCT	3	punct