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:
Al llegar al cementerio de San Diego, junto a una de las iglesias más antiguas de Quito, un artista representando a Simón Bolívar esperaba a Sucre.
Postion	Tokenization
1	Al
2	llegar
3	al
4	cementerio
5	de
6	San
7	Diego
8	,
9	junto
10	a
11	una
12	de
13	las
14	iglesias
15	más
16	antiguas
17	de
18	Quito
19	,
20	un
21	artista
22	representando
23	a
24	Simón
25	Bolívar
26	esperaba
27	a
28	Sucre
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	llegar	VERB	26	advcl
3	al	ADP	4	case
4	cementerio	NOUN	2	obl
5	de	ADP	6	case
6	San	PROPN	4	nmod
7	Diego	PROPN	6	flat
8	,	PUNCT	2	punct
9	junto	ADJ	11	case
10	a	ADP	9	fixed
11	una	PRON	26	obl
12	de	ADP	14	case
13	las	DET	14	det
14	iglesias	NOUN	11	nmod
15	más	ADV	16	advmod
16	antiguas	ADJ	14	amod
17	de	ADP	18	case
18	Quito	PROPN	14	nmod
19	,	PUNCT	11	punct
20	un	DET	21	det
21	artista	NOUN	26	nsubj
22	representando	VERB	21	acl
23	a	ADP	24	case
24	Simón	PROPN	22	obj
25	Bolívar	PROPN	24	flat
26	esperaba	VERB	0	root
27	a	ADP	28	case
28	Sucre	PROPN	26	obj
29	.	PUNCT	26	punct