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:
Even taking into account the fact that my 3 year old wanted to run most of the way round, it took us just over one hour start to finish.
Postion	Tokenization
1	Even
2	taking
3	into
4	account
5	the
6	fact
7	that
8	my
9	3
10	year
11	old
12	wanted
13	to
14	run
15	most
16	of
17	the
18	way
19	round
20	,
21	it
22	took
23	us
24	just
25	over
26	one
27	hour
28	start
29	to
30	finish
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	2	advmod
2	taking	VERB	22	advcl
3	into	ADP	4	case
4	account	NOUN	2	obl
5	the	DET	6	det
6	fact	NOUN	2	obj
7	that	SCONJ	12	mark
8	my	PRON	11	nmod:poss
9	3	NUM	10	nummod
10	year	NOUN	11	obl:npmod
11	old	ADJ	12	nsubj
12	wanted	VERB	6	acl
13	to	PART	14	mark
14	run	VERB	12	xcomp
15	most	ADJ	14	obj
16	of	ADP	18	case
17	the	DET	18	det
18	way	NOUN	15	nmod
19	round	ADV	14	advmod
20	,	PUNCT	22	punct
21	it	PRON	22	nsubj
22	took	VERB	0	root
23	us	PRON	22	iobj
24	just	ADV	25	advmod
25	over	ADP	26	advmod
26	one	NUM	27	nummod
27	hour	NOUN	22	obj
28	start	NOUN	22	obl:npmod
29	to	ADP	30	case
30	finish	NOUN	28	nmod
31	.	PUNCT	22	punct