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:
Durante sus 25 horas, el macroprograma mostrará cómo llega el año 2000 a los distintos países del mundo, comenzando por Nueva Zelanda y Australia.
Postion	Tokenization
1	Durante
2	sus
3	25
4	horas
5	,
6	el
7	macroprograma
8	mostrará
9	cómo
10	llega
11	el
12	año
13	2000
14	a
15	los
16	distintos
17	países
18	del
19	mundo
20	,
21	comenzando
22	por
23	Nueva
24	Zelanda
25	y
26	Australia
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	4	case
2	sus	PRON	3	nmod
3	25	NUM	4	nummod
4	horas	NOUN	8	obl
5	,	PUNCT	4	punct
6	el	DET	7	det
7	macroprograma	NOUN	8	nsubj
8	mostrará	VERB	0	root
9	cómo	PRON	10	obl
10	llega	VERB	8	ccomp
11	el	DET	12	det
12	año	NOUN	10	nsubj
13	2000	NUM	12	compound
14	a	ADP	17	case
15	los	DET	17	det
16	distintos	DET	15	det
17	países	NOUN	10	obl
18	del	ADP	19	case
19	mundo	NOUN	17	nmod
20	,	PUNCT	21	punct
21	comenzando	VERB	10	advcl
22	por	ADP	23	case
23	Nueva	PROPN	21	obl
24	Zelanda	PROPN	23	flat
25	y	CCONJ	26	cc
26	Australia	PROPN	23	conj
27	.	PUNCT	8	punct