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:
En el Tercer Mundo, por el contrario, seguro que no andan muy lejos del famoso lema de los mosqueteros: una rata para todos y todos para una.
Postion	Tokenization
1	En
2	el
3	Tercer
4	Mundo
5	,
6	por
7	el
8	contrario
9	,
10	seguro
11	que
12	no
13	andan
14	muy
15	lejos
16	del
17	famoso
18	lema
19	de
20	los
21	mosqueteros
22	:
23	una
24	rata
25	para
26	todos
27	y
28	todos
29	para
30	una
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	Tercer	PROPN	13	obl
4	Mundo	PROPN	3	flat
5	,	PUNCT	6	punct
6	por	ADP	13	advmod
7	el	DET	6	fixed
8	contrario	NOUN	6	fixed
9	,	PUNCT	6	punct
10	seguro	ADV	13	advmod
11	que	SCONJ	13	mark
12	no	ADV	13	advmod
13	andan	VERB	0	root
14	muy	ADV	15	advmod
15	lejos	ADV	13	advmod
16	del	ADP	18	case
17	famoso	ADJ	18	amod
18	lema	NOUN	15	obl
19	de	ADP	21	case
20	los	DET	21	det
21	mosqueteros	NOUN	18	nmod
22	:	PUNCT	24	punct
23	una	DET	24	det
24	rata	NOUN	18	nmod
25	para	ADP	26	case
26	todos	PRON	24	nmod
27	y	CCONJ	28	cc
28	todos	PRON	24	conj
29	para	ADP	30	case
30	una	PRON	28	nmod
31	.	PUNCT	13	punct