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:
Sobre el cuerpo humano las radiaciones actúan en relación con su naturaleza, la dosis recibida y la parte del organismo que haya sido expuesta.
Postion	Tokenization
1	Sobre
2	el
3	cuerpo
4	humano
5	las
6	radiaciones
7	actúan
8	en
9	relación
10	con
11	su
12	naturaleza
13	,
14	la
15	dosis
16	recibida
17	y
18	la
19	parte
20	del
21	organismo
22	que
23	haya
24	sido
25	expuesta
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Sobre	ADP	3	case
2	el	DET	3	det
3	cuerpo	NOUN	7	obl
4	humano	ADJ	3	amod
5	las	DET	6	det
6	radiaciones	NOUN	7	nsubj
7	actúan	VERB	0	root
8	en	ADP	9	case
9	relación	NOUN	7	obl
10	con	ADP	12	case
11	su	DET	12	det
12	naturaleza	NOUN	9	nmod
13	,	PUNCT	15	punct
14	la	DET	15	det
15	dosis	NOUN	12	appos
16	recibida	ADJ	15	amod
17	y	CCONJ	19	cc
18	la	DET	19	det
19	parte	NOUN	12	conj
20	del	ADP	21	case
21	organismo	NOUN	19	nmod
22	que	PRON	25	nsubj
23	haya	AUX	25	aux
24	sido	AUX	25	aux
25	expuesta	VERB	19	acl
26	.	PUNCT	7	punct