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:
Cuando recibí la semana pasada la póliza con un importe total de 54.000 pesetas me sentí como en Sierra Morena acosado por Curro Jiménez.
Postion	Tokenization
1	Cuando
2	recibí
3	la
4	semana
5	pasada
6	la
7	póliza
8	con
9	un
10	importe
11	total
12	de
13	54.000
14	pesetas
15	me
16	sentí
17	como
18	en
19	Sierra
20	Morena
21	acosado
22	por
23	Curro
24	Jiménez
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuando	SCONJ	2	mark
2	recibí	VERB	16	advcl
3	la	DET	4	det
4	semana	NOUN	2	obl
5	pasada	ADJ	4	amod
6	la	DET	7	det
7	póliza	NOUN	2	obj
8	con	ADP	10	case
9	un	DET	10	det
10	importe	NOUN	7	nmod
11	total	ADJ	10	amod
12	de	ADP	14	case
13	54.000	NUM	14	nummod
14	pesetas	NOUN	10	nmod
15	me	PRON	16	expl:pv
16	sentí	VERB	0	root
17	como	SCONJ	19	mark
18	en	ADP	19	case
19	Sierra	PROPN	21	nmod
20	Morena	PROPN	19	flat
21	acosado	ADJ	16	obj
22	por	ADP	23	case
23	Curro	PROPN	19	obj
24	Jiménez	PROPN	23	flat
25	.	PUNCT	16	punct