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:
Por ejemplo, la hamburguesa simple de McDonald's, que en Barcelona cuesta 170 pesetas 1,02 - - euros - -, en Berlín supera las 212 pesetas o 1,28 euros.
Postion	Tokenization
1	Por
2	ejemplo
3	,
4	la
5	hamburguesa
6	simple
7	de
8	McDonald's
9	,
10	que
11	en
12	Barcelona
13	cuesta
14	170
15	pesetas
16	1,02
17	-
18	-
19	euros
20	-
21	-
22	,
23	en
24	Berlín
25	supera
26	las
27	212
28	pesetas
29	o
30	1,28
31	euros
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	25	advmod
2	ejemplo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	la	DET	5	det
5	hamburguesa	NOUN	25	nsubj
6	simple	ADJ	5	amod
7	de	ADP	8	case
8	McDonald's	PROPN	5	nmod
9	,	PUNCT	13	punct
10	que	PRON	13	nsubj
11	en	ADP	12	case
12	Barcelona	PROPN	13	obl
13	cuesta	VERB	5	acl
14	170	NUM	15	nummod
15	pesetas	NOUN	13	obj
16	1,02	NUM	19	nummod
17	-	PUNCT	19	punct
18	-	PUNCT	19	punct
19	euros	NOUN	15	appos
20	-	PUNCT	19	punct
21	-	PUNCT	19	punct
22	,	PUNCT	13	punct
23	en	ADP	24	case
24	Berlín	PROPN	25	obl
25	supera	VERB	0	root
26	las	DET	27	det
27	212	NUM	28	nummod
28	pesetas	NOUN	25	obj
29	o	CCONJ	31	cc
30	1,28	NUM	31	nummod
31	euros	NOUN	28	conj
32	.	PUNCT	25	punct