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:
Dejaron atrás la opresión y muchos de ellos eligieron una tierra de saludables efectos, como es la de Buenos Aires, ciudad con unos 80.000 gallegos censados, entre los que 3.000 rebasan los 100 años.
Postion	Tokenization
1	Dejaron
2	atrás
3	la
4	opresión
5	y
6	muchos
7	de
8	ellos
9	eligieron
10	una
11	tierra
12	de
13	saludables
14	efectos
15	,
16	como
17	es
18	la
19	de
20	Buenos
21	Aires
22	,
23	ciudad
24	con
25	unos
26	80.000
27	gallegos
28	censados
29	,
30	entre
31	los
32	que
33	3.000
34	rebasan
35	los
36	100
37	años
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Dejaron	VERB	0	root
2	atrás	ADV	1	advmod
3	la	DET	4	det
4	opresión	NOUN	1	obj
5	y	CCONJ	9	cc
6	muchos	PRON	9	nsubj
7	de	ADP	8	case
8	ellos	PRON	6	nmod
9	eligieron	VERB	1	conj
10	una	DET	11	det
11	tierra	NOUN	9	obj
12	de	ADP	14	case
13	saludables	ADJ	14	amod
14	efectos	NOUN	11	nmod
15	,	PUNCT	18	punct
16	como	SCONJ	18	mark
17	es	AUX	18	cop
18	la	DET	11	acl
19	de	ADP	20	case
20	Buenos	PROPN	18	nmod
21	Aires	PROPN	20	flat
22	,	PUNCT	23	punct
23	ciudad	NOUN	20	appos
24	con	ADP	27	case
25	unos	PRON	26	nmod
26	80.000	NUM	27	nummod
27	gallegos	NOUN	23	nmod
28	censados	ADJ	27	amod
29	,	PUNCT	34	punct
30	entre	ADP	32	case
31	los	DET	32	det
32	que	PRON	34	obl
33	3.000	NUM	34	nsubj
34	rebasan	VERB	27	acl
35	los	DET	36	det
36	100	NUM	37	nummod
37	años	NOUN	34	obj
38	.	PUNCT	1	punct