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:
Para las elecciones, se espera la llegada de más de 450 observadores extranjeros procedentes de unos 21 países, lo mismo que de diversos organismos internacionales.
Postion	Tokenization
1	Para
2	las
3	elecciones
4	,
5	se
6	espera
7	la
8	llegada
9	de
10	más
11	de
12	450
13	observadores
14	extranjeros
15	procedentes
16	de
17	unos
18	21
19	países
20	,
21	lo
22	mismo
23	que
24	de
25	diversos
26	organismos
27	internacionales
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	las	DET	3	det
3	elecciones	NOUN	6	obl
4	,	PUNCT	3	punct
5	se	PRON	6	expl:pass
6	espera	VERB	0	root
7	la	DET	8	det
8	llegada	NOUN	6	nsubj
9	de	ADP	13	case
10	más	ADV	13	advmod
11	de	ADP	10	fixed
12	450	NUM	10	nummod
13	observadores	NOUN	8	nmod
14	extranjeros	ADJ	13	amod
15	procedentes	ADJ	13	amod
16	de	ADP	19	case
17	unos	PRON	18	nmod
18	21	NUM	19	nummod
19	países	NOUN	15	nmod
20	,	PUNCT	26	punct
21	lo	PRON	26	cc
22	mismo	ADJ	21	fixed
23	que	SCONJ	21	fixed
24	de	ADP	26	case
25	diversos	DET	26	det
26	organismos	NOUN	13	conj
27	internacionales	ADJ	26	amod
28	.	PUNCT	6	punct