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 work for a large retail company recently expanding our operations into Canada and had to travel to ensure all of our computer network equipment was installed properly and on time.
Postion	Tokenization
1	I
2	work
3	for
4	a
5	large
6	retail
7	company
8	recently
9	expanding
10	our
11	operations
12	into
13	Canada
14	and
15	had
16	to
17	travel
18	to
19	ensure
20	all
21	of
22	our
23	computer
24	network
25	equipment
26	was
27	installed
28	properly
29	and
30	on
31	time
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	work	VERB	0	root
3	for	ADP	7	case
4	a	DET	7	det
5	large	ADJ	7	amod
6	retail	NOUN	7	compound
7	company	NOUN	2	obl
8	recently	ADV	9	advmod
9	expanding	VERB	7	acl
10	our	PRON	11	nmod:poss
11	operations	NOUN	9	obj
12	into	ADP	13	case
13	Canada	PROPN	9	obl
14	and	CCONJ	15	cc
15	had	VERB	2	conj
16	to	PART	17	mark
17	travel	VERB	15	xcomp
18	to	PART	19	mark
19	ensure	VERB	17	advcl
20	all	DET	27	nsubj:pass
21	of	ADP	25	case
22	our	PRON	25	nmod:poss
23	computer	NOUN	24	compound
24	network	NOUN	25	compound
25	equipment	NOUN	20	nmod
26	was	AUX	27	aux:pass
27	installed	VERB	19	ccomp
28	properly	ADV	27	advmod
29	and	CCONJ	31	cc
30	on	ADP	31	case
31	time	NOUN	28	conj
32	.	PUNCT	2	punct