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:
"Hay informes que indican que esto ocurría el verano pasado y por eso debemos seguir investigando a estas empresas", dijo Thomas Wallander, de la Oficina de Control de la Competencia.
Postion	Tokenization
1	"
2	Hay
3	informes
4	que
5	indican
6	que
7	esto
8	ocurría
9	el
10	verano
11	pasado
12	y
13	por
14	eso
15	debemos
16	seguir
17	investigando
18	a
19	estas
20	empresas
21	"
22	,
23	dijo
24	Thomas
25	Wallander
26	,
27	de
28	la
29	Oficina
30	de
31	Control
32	de
33	la
34	Competencia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Hay	AUX	23	ccomp
3	informes	NOUN	2	obj
4	que	PRON	5	nsubj
5	indican	VERB	3	acl
6	que	SCONJ	8	mark
7	esto	PRON	8	nsubj
8	ocurría	VERB	5	advcl
9	el	DET	10	det
10	verano	NOUN	8	obl
11	pasado	ADJ	10	amod
12	y	CCONJ	16	cc
13	por	ADP	14	case
14	eso	PRON	16	obl
15	debemos	AUX	16	aux
16	seguir	VERB	2	conj
17	investigando	VERB	16	xcomp
18	a	ADP	20	case
19	estas	DET	20	det
20	empresas	NOUN	17	obj
21	"	PUNCT	2	punct
22	,	PUNCT	2	punct
23	dijo	VERB	0	root
24	Thomas	PROPN	23	nsubj
25	Wallander	PROPN	24	flat
26	,	PUNCT	29	punct
27	de	ADP	29	case
28	la	DET	29	det
29	Oficina	PROPN	24	nmod
30	de	ADP	31	case
31	Control	PROPN	29	flat
32	de	ADP	34	case
33	la	DET	34	det
34	Competencia	PROPN	29	flat
35	.	PUNCT	23	punct