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:
Pero donde el montaje cobra mayor fuerza y personalidad es en una especie de historias paralelas - - algunas, como la primera, realmente destacables - - que se van intercalando.
Postion	Tokenization
1	Pero
2	donde
3	el
4	montaje
5	cobra
6	mayor
7	fuerza
8	y
9	personalidad
10	es
11	en
12	una
13	especie
14	de
15	historias
16	paralelas
17	-
18	-
19	algunas
20	,
21	como
22	la
23	primera
24	,
25	realmente
26	destacables
27	-
28	-
29	que
30	se
31	van
32	intercalando
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	10	advmod
2	donde	PRON	5	obl
3	el	DET	4	det
4	montaje	NOUN	5	nsubj
5	cobra	VERB	10	csubj
6	mayor	ADJ	7	amod
7	fuerza	NOUN	5	obj
8	y	CCONJ	9	cc
9	personalidad	NOUN	7	conj
10	es	AUX	0	root
11	en	ADP	13	case
12	una	DET	13	det
13	especie	NOUN	10	obl
14	de	ADP	15	case
15	historias	NOUN	13	nmod
16	paralelas	ADJ	15	amod
17	-	PUNCT	19	punct
18	-	PUNCT	19	punct
19	algunas	PRON	15	appos
20	,	PUNCT	23	punct
21	como	SCONJ	23	mark
22	la	DET	23	det
23	primera	ADJ	19	amod
24	,	PUNCT	23	punct
25	realmente	ADV	26	advmod
26	destacables	ADJ	19	amod
27	-	PUNCT	19	punct
28	-	PUNCT	19	punct
29	que	PRON	32	nsubj
30	se	PRON	32	expl:pv
31	van	AUX	32	aux
32	intercalando	VERB	15	acl
33	.	PUNCT	10	punct