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 la segunda parte llegó una vez al área y arruinó al Madrid, arrebatándole su manto de armiño artificial; despojándolo incluso de sus despojos.
Postion	Tokenization
1	En
2	la
3	segunda
4	parte
5	llegó
6	una
7	vez
8	al
9	área
10	y
11	arruinó
12	al
13	Madrid
14	,
15	arrebatándole
16	arrebatando
17	le
18	su
19	manto
20	de
21	armiño
22	artificial
23	;
24	despojándolo
25	despojando
26	lo
27	incluso
28	de
29	sus
30	despojos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	segunda	ADJ	4	amod
4	parte	NOUN	5	obl
5	llegó	VERB	0	root
6	una	DET	7	det
7	vez	NOUN	5	obl
8	al	ADP	9	case
9	área	NOUN	5	obl
10	y	CCONJ	11	cc
11	arruinó	VERB	5	conj
12	al	ADP	13	case
13	Madrid	PROPN	11	obj
14	,	PUNCT	15	punct
15	arrebatándole	_	None	_
16	arrebatando	VERB	11	advcl
17	le	PRON	15	obj
18	su	DET	18	det
19	manto	NOUN	15	obj
20	de	ADP	20	case
21	armiño	NOUN	18	nmod
22	artificial	ADJ	20	amod
23	;	PUNCT	15	punct
24	despojándolo	_	None	_
25	despojando	VERB	15	advcl
26	lo	PRON	23	obj
27	incluso	ADV	23	advmod
28	de	ADP	28	case
29	sus	DET	28	det
30	despojos	NOUN	23	obj
31	.	PUNCT	5	punct