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:
Como he dicho en un libro, el abominable hombre de las nieves eternas del Himalaya no es hombre sino mujer.
Postion	Tokenization
1	Como
2	he
3	dicho
4	en
5	un
6	libro
7	,
8	el
9	abominable
10	hombre
11	de
12	las
13	nieves
14	eternas
15	del
16	Himalaya
17	no
18	es
19	hombre
20	sino
21	mujer
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	3	mark
2	he	AUX	3	aux
3	dicho	VERB	19	advcl
4	en	ADP	6	case
5	un	DET	6	det
6	libro	NOUN	3	obl
7	,	PUNCT	3	punct
8	el	DET	10	det
9	abominable	ADJ	10	amod
10	hombre	NOUN	19	nsubj
11	de	ADP	13	case
12	las	DET	13	det
13	nieves	NOUN	10	nmod
14	eternas	ADJ	13	amod
15	del	ADP	16	case
16	Himalaya	PROPN	13	nmod
17	no	ADV	19	advmod
18	es	AUX	19	cop
19	hombre	NOUN	0	root
20	sino	CCONJ	21	cc
21	mujer	NOUN	19	conj
22	.	PUNCT	19	punct