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:
Las tropas agresoras encontrarían un país indefenso y una población destruida, muerta o incapacitada, pero con sus ciudades y recursos industriales intactos.
Postion	Tokenization
1	Las
2	tropas
3	agresoras
4	encontrarían
5	un
6	país
7	indefenso
8	y
9	una
10	población
11	destruida
12	,
13	muerta
14	o
15	incapacitada
16	,
17	pero
18	con
19	sus
20	ciudades
21	y
22	recursos
23	industriales
24	intactos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	tropas	NOUN	4	nsubj
3	agresoras	ADJ	2	amod
4	encontrarían	VERB	0	root
5	un	DET	6	det
6	país	NOUN	4	obj
7	indefenso	ADJ	6	amod
8	y	CCONJ	10	cc
9	una	DET	10	det
10	población	NOUN	6	conj
11	destruida	ADJ	10	amod
12	,	PUNCT	13	punct
13	muerta	ADJ	11	advmod
14	o	CCONJ	15	cc
15	incapacitada	ADJ	11	conj
16	,	PUNCT	20	punct
17	pero	CCONJ	20	cc
18	con	ADP	20	case
19	sus	DET	20	det
20	ciudades	NOUN	11	conj
21	y	CCONJ	22	cc
22	recursos	NOUN	20	conj
23	industriales	ADJ	22	amod
24	intactos	ADJ	20	amod
25	.	PUNCT	4	punct