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:
Ser rico en aquel tiempo tenía muchas ventajas, y también muchas desventajas, por supuesto, pero medio mundo lo anhelaba como la posibilidad más probable de ser eterno.
Postion	Tokenization
1	Ser
2	rico
3	en
4	aquel
5	tiempo
6	tenía
7	muchas
8	ventajas
9	,
10	y
11	también
12	muchas
13	desventajas
14	,
15	por
16	supuesto
17	,
18	pero
19	medio
20	mundo
21	lo
22	anhelaba
23	como
24	la
25	posibilidad
26	más
27	probable
28	de
29	ser
30	eterno
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ser	AUX	2	cop
2	rico	ADJ	6	csubj
3	en	ADP	5	case
4	aquel	DET	5	det
5	tiempo	NOUN	2	obl
6	tenía	VERB	0	root
7	muchas	DET	8	det
8	ventajas	NOUN	6	obj
9	,	PUNCT	13	punct
10	y	CCONJ	13	cc
11	también	ADV	13	advmod
12	muchas	DET	13	det
13	desventajas	NOUN	8	conj
14	,	PUNCT	15	punct
15	por	ADP	13	advmod
16	supuesto	NOUN	15	fixed
17	,	PUNCT	15	punct
18	pero	CCONJ	22	cc
19	medio	NUM	20	nummod
20	mundo	NOUN	22	nsubj
21	lo	PRON	22	obj
22	anhelaba	VERB	6	conj
23	como	SCONJ	25	mark
24	la	DET	25	det
25	posibilidad	NOUN	22	obl
26	más	ADV	27	advmod
27	probable	ADJ	25	amod
28	de	ADP	30	mark
29	ser	AUX	30	cop
30	eterno	ADJ	25	acl
31	.	PUNCT	6	punct