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 took my 3 year old son here at the weekend and to be honest, apart from the shark walkway, I thought it was rubbish and overpriced.
Postion	Tokenization
1	I
2	took
3	my
4	3
5	year
6	old
7	son
8	here
9	at
10	the
11	weekend
12	and
13	to
14	be
15	honest
16	,
17	apart
18	from
19	the
20	shark
21	walkway
22	,
23	I
24	thought
25	it
26	was
27	rubbish
28	and
29	overpriced
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	took	VERB	0	root
3	my	PRON	7	nmod:poss
4	3	NUM	5	nummod
5	year	NOUN	6	obl:npmod
6	old	ADJ	7	amod
7	son	NOUN	2	obj
8	here	ADV	2	advmod
9	at	ADP	11	case
10	the	DET	11	det
11	weekend	NOUN	2	obl
12	and	CCONJ	24	cc
13	to	PART	15	mark
14	be	AUX	15	cop
15	honest	ADJ	24	advcl
16	,	PUNCT	24	punct
17	apart	ADV	24	advmod
18	from	ADP	21	case
19	the	DET	21	det
20	shark	NOUN	21	compound
21	walkway	NOUN	17	obl
22	,	PUNCT	24	punct
23	I	PRON	24	nsubj
24	thought	VERB	2	conj
25	it	PRON	27	nsubj
26	was	AUX	27	cop
27	rubbish	NOUN	24	ccomp
28	and	CCONJ	29	cc
29	overpriced	ADJ	27	conj
30	.	PUNCT	2	punct