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:
La reiteración de los daños las convierte en "previsibles", por lo que se podría considerar que hubo indicios "de estafa" y actuar incluso por la vía penal, manifestó la misma fuente.
Postion	Tokenization
1	La
2	reiteración
3	de
4	los
5	daños
6	las
7	convierte
8	en
9	"
10	previsibles
11	"
12	,
13	por
14	lo
15	que
16	se
17	podría
18	considerar
19	que
20	hubo
21	indicios
22	"
23	de
24	estafa
25	"
26	y
27	actuar
28	incluso
29	por
30	la
31	vía
32	penal
33	,
34	manifestó
35	la
36	misma
37	fuente
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	reiteración	NOUN	7	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	daños	NOUN	2	nmod
6	las	PRON	7	obj
7	convierte	VERB	34	ccomp
8	en	ADP	10	case
9	"	PUNCT	10	punct
10	previsibles	ADJ	7	iobj
11	"	PUNCT	10	punct
12	,	PUNCT	18	punct
13	por	ADP	18	mark
14	lo	PRON	18	det
15	que	PRON	18	obl
16	se	PRON	18	expl:pass
17	podría	AUX	18	aux
18	considerar	VERB	7	advcl
19	que	SCONJ	20	mark
20	hubo	AUX	18	csubj
21	indicios	NOUN	20	obj
22	"	PUNCT	24	punct
23	de	ADP	24	case
24	estafa	NOUN	21	nmod
25	"	PUNCT	24	punct
26	y	CCONJ	27	cc
27	actuar	VERB	18	conj
28	incluso	ADV	27	advmod
29	por	ADP	28	case
30	la	DET	31	det
31	vía	NOUN	28	nmod
32	penal	ADJ	31	amod
33	,	PUNCT	7	punct
34	manifestó	VERB	0	root
35	la	DET	37	det
36	misma	DET	35	det
37	fuente	NOUN	34	nsubj
38	.	PUNCT	34	punct