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:
Un lugar privilegiado lo esperaba, pues los asistentes decidieron hacer el simbólico entierro en el mismo lugar donde está enterrado el cinco veces presidente de Ecuador, José María Velasco Ibarra.
Postion	Tokenization
1	Un
2	lugar
3	privilegiado
4	lo
5	esperaba
6	,
7	pues
8	los
9	asistentes
10	decidieron
11	hacer
12	el
13	simbólico
14	entierro
15	en
16	el
17	mismo
18	lugar
19	donde
20	está
21	enterrado
22	el
23	cinco
24	veces
25	presidente
26	de
27	Ecuador
28	,
29	José
30	María
31	Velasco
32	Ibarra
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	lugar	NOUN	5	nsubj
3	privilegiado	ADJ	2	amod
4	lo	PRON	5	obj
5	esperaba	VERB	0	root
6	,	PUNCT	10	punct
7	pues	SCONJ	10	mark
8	los	DET	9	det
9	asistentes	NOUN	10	nsubj
10	decidieron	VERB	5	advcl
11	hacer	VERB	10	xcomp
12	el	DET	14	det
13	simbólico	ADJ	14	amod
14	entierro	NOUN	11	obj
15	en	ADP	18	case
16	el	DET	18	det
17	mismo	DET	16	det
18	lugar	NOUN	11	obl
19	donde	PRON	21	obl
20	está	AUX	21	cop
21	enterrado	ADJ	18	acl
22	el	DET	24	det
23	cinco	NUM	24	nummod
24	veces	NOUN	25	nmod
25	presidente	NOUN	21	nsubj
26	de	ADP	27	case
27	Ecuador	PROPN	25	nmod
28	,	PUNCT	29	punct
29	José	PROPN	25	appos
30	María	PROPN	29	flat
31	Velasco	PROPN	29	flat
32	Ibarra	PROPN	29	flat
33	.	PUNCT	5	punct