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:
Compré la entrada y fui recorriendo estands y palacios hasta llegar al de una conocida marca alemana de automóviles que me denegó el acceso sin explicación alguna.
Postion	Tokenization
1	Compré
2	la
3	entrada
4	y
5	fui
6	recorriendo
7	estands
8	y
9	palacios
10	hasta
11	llegar
12	al
13	de
14	una
15	conocida
16	marca
17	alemana
18	de
19	automóviles
20	que
21	me
22	denegó
23	el
24	acceso
25	sin
26	explicación
27	alguna
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Compré	VERB	0	root
2	la	DET	3	det
3	entrada	NOUN	1	obj
4	y	CCONJ	6	cc
5	fui	AUX	6	aux
6	recorriendo	VERB	1	conj
7	estands	NOUN	6	obj
8	y	CCONJ	9	cc
9	palacios	NOUN	7	conj
10	hasta	ADP	11	mark
11	llegar	VERB	6	advcl
12	al	ADP	16	case
13	de	ADP	16	case
14	una	DET	16	det
15	conocida	ADJ	16	amod
16	marca	NOUN	11	obl
17	alemana	ADJ	16	amod
18	de	ADP	19	case
19	automóviles	NOUN	16	nmod
20	que	PRON	22	nsubj
21	me	PRON	22	iobj
22	denegó	VERB	16	acl
23	el	DET	24	det
24	acceso	NOUN	22	obj
25	sin	ADP	26	case
26	explicación	NOUN	22	obl
27	alguna	ADJ	26	amod
28	.	PUNCT	1	punct