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:
La Vuelta a España es actualmente un inmenso escaparate publicitario que se crea a partir del esfuerzo de los ciclistas, auténticos "enanitos" en este circo ambulante.
Postion	Tokenization
1	La
2	Vuelta
3	a
4	España
5	es
6	actualmente
7	un
8	inmenso
9	escaparate
10	publicitario
11	que
12	se
13	crea
14	a
15	partir
16	del
17	esfuerzo
18	de
19	los
20	ciclistas
21	,
22	auténticos
23	"
24	enanitos
25	"
26	en
27	este
28	circo
29	ambulante
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Vuelta	PROPN	9	nsubj
3	a	ADP	4	case
4	España	PROPN	2	nmod
5	es	AUX	9	cop
6	actualmente	ADV	9	advmod
7	un	DET	9	det
8	inmenso	ADJ	9	amod
9	escaparate	NOUN	0	root
10	publicitario	ADJ	9	amod
11	que	PRON	13	nsubj
12	se	PRON	13	expl:pass
13	crea	VERB	9	acl
14	a	ADP	17	case
15	partir	NOUN	14	fixed
16	del	ADP	14	fixed
17	esfuerzo	NOUN	13	obl
18	de	ADP	20	case
19	los	DET	20	det
20	ciclistas	NOUN	17	nmod
21	,	PUNCT	24	punct
22	auténticos	ADJ	24	amod
23	"	PUNCT	24	punct
24	enanitos	NOUN	20	appos
25	"	PUNCT	24	punct
26	en	ADP	28	case
27	este	DET	28	det
28	circo	NOUN	24	nmod
29	ambulante	ADJ	28	amod
30	.	PUNCT	9	punct