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:
Crowds are at their thinnest, but many of the country’s tourist attractions and services close down in October and don’t reopen until Easter, which paradoxically leaves visitors with a more convincing taste of how Ireland is experienced by most of the Irish: it’s cold, grey and dark by 5pm, but there’s always a pub to escape into when the rain starts sheeting down.
Postion	Tokenization
1	Crowds
2	are
3	at
4	their
5	thinnest
6	,
7	but
8	many
9	of
10	the
11	country’s
12	country
13	’s
14	tourist
15	attractions
16	and
17	services
18	close
19	down
20	in
21	October
22	and
23	don’t
24	do
25	n’t
26	reopen
27	until
28	Easter
29	,
30	which
31	paradoxically
32	leaves
33	visitors
34	with
35	a
36	more
37	convincing
38	taste
39	of
40	how
41	Ireland
42	is
43	experienced
44	by
45	most
46	of
47	the
48	Irish
49	:
50	it’s
51	it
52	’s
53	cold
54	,
55	grey
56	and
57	dark
58	by
59	5
60	pm
61	,
62	but
63	there’s
64	there
65	’s
66	always
67	a
68	pub
69	to
70	escape
71	into
72	when
73	the
74	rain
75	starts
76	sheeting
77	down
78	.
Position	Tokenization	UPOS	Head	Deprel
1	Crowds	NOUN	5	nsubj
2	are	AUX	5	cop
3	at	ADP	5	case
4	their	PRON	5	nmod:poss
5	thinnest	ADJ	0	root
6	,	PUNCT	17	punct
7	but	CCONJ	17	cc
8	many	ADJ	17	nsubj
9	of	ADP	14	case
10	the	DET	11	det
11	country’s	_	None	_
12	country	NOUN	14	nmod:poss
13	’s	PART	11	case
14	tourist	NOUN	14	compound
15	attractions	NOUN	8	nmod
16	and	CCONJ	16	cc
17	services	NOUN	14	conj
18	close	VERB	5	conj
19	down	ADP	17	compound:prt
20	in	ADP	20	case
21	October	PROPN	17	obl
22	and	CCONJ	24	cc
23	don’t	_	None	_
24	do	AUX	24	aux
25	n’t	PART	24	advmod
26	reopen	VERB	17	conj
27	until	ADP	26	case
28	Easter	PROPN	24	obl
29	,	PUNCT	24	punct
30	which	PRON	30	nsubj
31	paradoxically	ADV	30	advmod
32	leaves	VERB	24	acl:relcl
33	visitors	NOUN	30	obj
34	with	ADP	36	case
35	a	DET	36	det
36	more	ADV	35	advmod
37	convincing	ADJ	36	amod
38	taste	NOUN	30	obl
39	of	SCONJ	41	mark
40	how	SCONJ	41	mark
41	Ireland	PROPN	41	nsubj:pass
42	is	AUX	41	aux:pass
43	experienced	VERB	36	acl
44	by	ADP	43	case
45	most	ADJ	41	obl
46	of	ADP	46	case
47	the	DET	46	det
48	Irish	ADJ	43	obl
49	:	PUNCT	5	punct
50	it’s	_	None	_
51	it	PRON	50	nsubj
52	’s	AUX	50	cop
53	cold	ADJ	5	parataxis
54	,	PUNCT	52	punct
55	grey	ADJ	50	conj
56	and	CCONJ	54	cc
57	dark	ADJ	50	conj
58	by	ADP	57	case
59	5	NUM	57	nummod
60	pm	NOUN	50	obl
61	,	PUNCT	61	punct
62	but	CCONJ	61	cc
63	there’s	_	None	_
64	there	PRON	61	expl
65	’s	VERB	50	conj
66	always	ADV	61	advmod
67	a	DET	64	det
68	pub	NOUN	61	nsubj
69	to	PART	66	mark
70	escape	VERB	64	acl
71	into	ADP	66	obl
72	when	SCONJ	71	mark
73	the	DET	70	det
74	rain	NOUN	71	nsubj
75	starts	VERB	66	advcl
76	sheeting	VERB	71	advcl
77	down	ADV	72	advmod
78	.	PUNCT	5	punct