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:
Dicen que en los países más prósperos y desarrollados viven ya tantas ratas como seres humanos, y en algunos incluso más.
Postion	Tokenization
1	Dicen
2	que
3	en
4	los
5	países
6	más
7	prósperos
8	y
9	desarrollados
10	viven
11	ya
12	tantas
13	ratas
14	como
15	seres
16	humanos
17	,
18	y
19	en
20	algunos
21	incluso
22	más
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Dicen	VERB	0	root
2	que	SCONJ	10	mark
3	en	ADP	5	case
4	los	DET	5	det
5	países	NOUN	10	obl
6	más	ADV	7	advmod
7	prósperos	ADJ	5	amod
8	y	CCONJ	9	cc
9	desarrollados	ADJ	7	conj
10	viven	VERB	1	ccomp
11	ya	ADV	10	advmod
12	tantas	DET	13	det
13	ratas	NOUN	10	nsubj
14	como	SCONJ	15	mark
15	seres	NOUN	13	nmod
16	humanos	ADJ	15	amod
17	,	PUNCT	20	punct
18	y	CCONJ	20	cc
19	en	ADP	20	case
20	algunos	PRON	10	conj
21	incluso	ADV	22	advmod
22	más	ADV	20	advmod
23	.	PUNCT	1	punct