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:
El que golpea una papelera al pasar - 2.000 destruyeron en Madrid sólo el año pasado - es un insatisfecho, que siente la tentación del punching.
Postion	Tokenization
1	El
2	que
3	golpea
4	una
5	papelera
6	al
7	pasar
8	-
9	2.000
10	destruyeron
11	en
12	Madrid
13	sólo
14	el
15	año
16	pasado
17	-
18	es
19	un
20	insatisfecho
21	,
22	que
23	siente
24	la
25	tentación
26	del
27	punching
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	que	PRON	3	nsubj
3	golpea	VERB	18	csubj
4	una	DET	5	det
5	papelera	NOUN	3	obj
6	al	ADP	7	mark
7	pasar	VERB	3	advcl
8	-	PUNCT	10	punct
9	2.000	NUM	10	obj
10	destruyeron	VERB	18	parataxis
11	en	ADP	12	case
12	Madrid	PROPN	10	obl
13	sólo	ADV	15	advmod
14	el	DET	15	det
15	año	NOUN	10	obl
16	pasado	ADJ	15	amod
17	-	PUNCT	10	punct
18	es	AUX	0	root
19	un	DET	23	det
20	insatisfecho	ADJ	23	amod
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	siente	VERB	18	ccomp
24	la	DET	25	det
25	tentación	NOUN	23	obj
26	del	ADP	27	case
27	punching	NOUN	25	nmod
28	.	PUNCT	18	punct