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 ecónomo dijo que nadie le recomendó retirar el dinero, y que lo hizo él por iniciativa propia al saber que la entidad estaba sometida a inspecciones.
Postion	Tokenization
1	El
2	ecónomo
3	dijo
4	que
5	nadie
6	le
7	recomendó
8	retirar
9	el
10	dinero
11	,
12	y
13	que
14	lo
15	hizo
16	él
17	por
18	iniciativa
19	propia
20	al
21	saber
22	que
23	la
24	entidad
25	estaba
26	sometida
27	a
28	inspecciones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	ecónomo	NOUN	3	nsubj
3	dijo	VERB	0	root
4	que	SCONJ	7	mark
5	nadie	PRON	7	nsubj
6	le	PRON	7	iobj
7	recomendó	VERB	3	ccomp
8	retirar	VERB	7	xcomp
9	el	DET	10	det
10	dinero	NOUN	8	obj
11	,	PUNCT	15	punct
12	y	CCONJ	15	cc
13	que	SCONJ	15	mark
14	lo	PRON	15	obj
15	hizo	VERB	7	conj
16	él	PRON	15	nsubj
17	por	ADP	18	case
18	iniciativa	NOUN	15	obl
19	propia	ADJ	18	amod
20	al	ADP	26	mark
21	saber	AUX	26	aux
22	que	SCONJ	26	mark
23	la	DET	24	det
24	entidad	NOUN	26	nsubj
25	estaba	AUX	26	cop
26	sometida	ADJ	15	advcl
27	a	ADP	28	case
28	inspecciones	NOUN	26	obj
29	.	PUNCT	3	punct