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 la cruda realidad, como la norteamericana, nos muestra que estos métodos generan más violencia y aumentan concretamente 10 veces más la delincuencia, las víctimas y las prisiones.
Postion	Tokenization
1	Pero
2	la
3	cruda
4	realidad
5	,
6	como
7	la
8	norteamericana
9	,
10	nos
11	muestra
12	que
13	estos
14	métodos
15	generan
16	más
17	violencia
18	y
19	aumentan
20	concretamente
21	10
22	veces
23	más
24	la
25	delincuencia
26	,
27	las
28	víctimas
29	y
30	las
31	prisiones
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	11	advmod
2	la	DET	4	det
3	cruda	ADJ	4	amod
4	realidad	NOUN	11	nsubj
5	,	PUNCT	8	punct
6	como	SCONJ	8	mark
7	la	DET	8	det
8	norteamericana	ADJ	4	amod
9	,	PUNCT	8	punct
10	nos	PRON	11	iobj
11	muestra	VERB	0	root
12	que	SCONJ	15	mark
13	estos	DET	14	det
14	métodos	NOUN	15	nsubj
15	generan	VERB	11	ccomp
16	más	ADV	17	advmod
17	violencia	NOUN	15	obj
18	y	CCONJ	19	cc
19	aumentan	VERB	15	conj
20	concretamente	ADV	19	advmod
21	10	NUM	22	nummod
22	veces	NOUN	19	obl
23	más	ADV	22	advmod
24	la	DET	25	det
25	delincuencia	NOUN	19	obj
26	,	PUNCT	28	punct
27	las	DET	28	det
28	víctimas	NOUN	25	appos
29	y	CCONJ	31	cc
30	las	DET	31	det
31	prisiones	NOUN	25	conj
32	.	PUNCT	11	punct