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:
May seem a little silly, but, taking a long ride on the Metra system or the "L" system is a great way to see the city and sites without spending a fortune.
Postion	Tokenization
1	May
2	seem
3	a
4	little
5	silly
6	,
7	but
8	,
9	taking
10	a
11	long
12	ride
13	on
14	the
15	Metra
16	system
17	or
18	the
19	"
20	L
21	"
22	system
23	is
24	a
25	great
26	way
27	to
28	see
29	the
30	city
31	and
32	sites
33	without
34	spending
35	a
36	fortune
37	.
Position	Tokenization	UPOS	Head	Deprel
1	May	AUX	2	aux
2	seem	VERB	0	root
3	a	DET	4	det
4	little	NOUN	5	obl:npmod
5	silly	ADJ	2	xcomp
6	,	PUNCT	26	punct
7	but	CCONJ	26	cc
8	,	PUNCT	26	punct
9	taking	VERB	26	csubj
10	a	DET	12	det
11	long	ADJ	12	amod
12	ride	NOUN	9	obj
13	on	ADP	16	case
14	the	DET	16	det
15	Metra	PROPN	16	compound
16	system	NOUN	9	obl
17	or	CCONJ	22	cc
18	the	DET	22	det
19	"	PUNCT	22	punct
20	L	PROPN	22	compound
21	"	PUNCT	22	punct
22	system	NOUN	16	conj
23	is	AUX	26	cop
24	a	DET	26	det
25	great	ADJ	26	amod
26	way	NOUN	2	conj
27	to	PART	28	mark
28	see	VERB	26	acl
29	the	DET	30	det
30	city	NOUN	28	obj
31	and	CCONJ	32	cc
32	sites	NOUN	30	conj
33	without	SCONJ	34	mark
34	spending	VERB	28	advcl
35	a	DET	36	det
36	fortune	NOUN	34	obj
37	.	PUNCT	2	punct