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:
Incluso la bajada de bandera del taxi, que oscila entre el equivalente a 2,05 y 3,07 euros, en función de la carrera, es la más cara de todas.
Postion	Tokenization
1	Incluso
2	la
3	bajada
4	de
5	bandera
6	del
7	taxi
8	,
9	que
10	oscila
11	entre
12	el
13	equivalente
14	a
15	2,05
16	y
17	3,07
18	euros
19	,
20	en
21	función
22	de
23	la
24	carrera
25	,
26	es
27	la
28	más
29	cara
30	de
31	todas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Incluso	ADV	3	advmod
2	la	DET	3	det
3	bajada	NOUN	29	nsubj
4	de	ADP	5	case
5	bandera	NOUN	3	nmod
6	del	ADP	7	case
7	taxi	NOUN	5	nmod
8	,	PUNCT	10	punct
9	que	PRON	10	nsubj
10	oscila	VERB	3	acl
11	entre	ADP	13	case
12	el	DET	13	det
13	equivalente	NOUN	10	obl
14	a	ADP	15	case
15	2,05	NUM	13	nummod
16	y	CCONJ	18	cc
17	3,07	NUM	18	nummod
18	euros	NOUN	15	conj
19	,	PUNCT	24	punct
20	en	ADP	24	case
21	función	NOUN	20	fixed
22	de	ADP	20	fixed
23	la	DET	24	det
24	carrera	NOUN	10	obl
25	,	PUNCT	24	punct
26	es	AUX	29	cop
27	la	DET	29	det
28	más	ADV	29	advmod
29	cara	ADJ	0	root
30	de	ADP	31	case
31	todas	PRON	29	nmod
32	.	PUNCT	29	punct