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:
No es tan raro, por tanto que el berlinés pague más del doble que el barcelonés por un billete de metro, entre otros servicios y productos.
Postion	Tokenization
1	No
2	es
3	tan
4	raro
5	,
6	por
7	tanto
8	que
9	el
10	berlinés
11	pague
12	más
13	del
14	doble
15	que
16	el
17	barcelonés
18	por
19	un
20	billete
21	de
22	metro
23	,
24	entre
25	otros
26	servicios
27	y
28	productos
29	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	4	advmod
2	es	AUX	4	cop
3	tan	ADV	4	advmod
4	raro	ADJ	0	root
5	,	PUNCT	6	punct
6	por	ADP	4	advmod
7	tanto	NOUN	6	fixed
8	que	SCONJ	11	mark
9	el	DET	10	det
10	berlinés	NOUN	11	nsubj
11	pague	VERB	4	csubj
12	más	ADV	11	obj
13	del	ADP	14	case
14	doble	NOUN	12	obl
15	que	SCONJ	17	mark
16	el	DET	17	det
17	barcelonés	NOUN	12	obl
18	por	ADP	20	case
19	un	DET	20	det
20	billete	NOUN	11	obj
21	de	ADP	22	case
22	metro	NOUN	20	nmod
23	,	PUNCT	26	punct
24	entre	ADP	26	case
25	otros	DET	26	det
26	servicios	NOUN	20	nmod
27	y	CCONJ	28	cc
28	productos	NOUN	26	conj
29	.	PUNCT	4	punct