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:
La teoría de Carrascal me parece peligrosa desde el principio: todo nuevo orden, según él, implica la existencia de un - ordenador -.
Postion	Tokenization
1	La
2	teoría
3	de
4	Carrascal
5	me
6	parece
7	peligrosa
8	desde
9	el
10	principio
11	:
12	todo
13	nuevo
14	orden
15	,
16	según
17	él
18	,
19	implica
20	la
21	existencia
22	de
23	un
24	-
25	ordenador
26	-
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	teoría	NOUN	6	nsubj
3	de	ADP	4	case
4	Carrascal	PROPN	2	nmod
5	me	PRON	6	iobj
6	parece	VERB	0	root
7	peligrosa	ADJ	6	xcomp
8	desde	ADP	10	case
9	el	DET	10	det
10	principio	NOUN	6	obl
11	:	PUNCT	19	punct
12	todo	DET	14	det
13	nuevo	ADJ	14	amod
14	orden	NOUN	19	nsubj
15	,	PUNCT	17	punct
16	según	ADP	17	case
17	él	PRON	19	obl
18	,	PUNCT	17	punct
19	implica	VERB	7	advcl
20	la	DET	21	det
21	existencia	NOUN	19	obj
22	de	ADP	25	case
23	un	DET	25	det
24	-	PUNCT	25	punct
25	ordenador	NOUN	21	nmod
26	-	PUNCT	6	punct
27	.	PUNCT	6	punct