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:
Si uno no encuentra quien le asegure, le queda el Consorcio de Compensación, aunque que nadie se engañe, empezó con una prima de 37.000 pesetas y en pocos meses ha subido hasta las 57.000.
Postion	Tokenization
1	Si
2	uno
3	no
4	encuentra
5	quien
6	le
7	asegure
8	,
9	le
10	queda
11	el
12	Consorcio
13	de
14	Compensación
15	,
16	aunque
17	que
18	nadie
19	se
20	engañe
21	,
22	empezó
23	con
24	una
25	prima
26	de
27	37.000
28	pesetas
29	y
30	en
31	pocos
32	meses
33	ha
34	subido
35	hasta
36	las
37	57.000
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	4	mark
2	uno	PRON	4	nsubj
3	no	ADV	4	advmod
4	encuentra	VERB	10	advcl
5	quien	PRON	7	nsubj
6	le	PRON	7	obj
7	asegure	VERB	4	ccomp
8	,	PUNCT	4	punct
9	le	PRON	10	obj
10	queda	VERB	0	root
11	el	DET	12	det
12	Consorcio	PROPN	10	nsubj
13	de	ADP	14	case
14	Compensación	PROPN	12	flat
15	,	PUNCT	22	punct
16	aunque	SCONJ	22	mark
17	que	SCONJ	20	mark
18	nadie	PRON	20	nsubj
19	se	PRON	20	expl:pv
20	engañe	VERB	22	advcl
21	,	PUNCT	20	punct
22	empezó	VERB	10	advcl
23	con	ADP	25	case
24	una	DET	25	det
25	prima	NOUN	22	obl
26	de	ADP	28	case
27	37.000	NUM	28	nummod
28	pesetas	NOUN	25	nmod
29	y	CCONJ	34	cc
30	en	ADP	32	case
31	pocos	DET	32	det
32	meses	NOUN	34	obl
33	ha	AUX	34	aux
34	subido	VERB	22	conj
35	hasta	ADP	37	case
36	las	DET	37	det
37	57.000	NUM	34	obl
38	.	PUNCT	10	punct