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:
Ciertos efectos somáticos como eritemas, anemias, necrosis y esterilidad, entre otros, se hacen notar inmediatamente, en una clara relación causa efecto que depende de la dosis recibida.
Postion	Tokenization
1	Ciertos
2	efectos
3	somáticos
4	como
5	eritemas
6	,
7	anemias
8	,
9	necrosis
10	y
11	esterilidad
12	,
13	entre
14	otros
15	,
16	se
17	hacen
18	notar
19	inmediatamente
20	,
21	en
22	una
23	clara
24	relación
25	causa
26	efecto
27	que
28	depende
29	de
30	la
31	dosis
32	recibida
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ciertos	DET	2	det
2	efectos	NOUN	17	nsubj
3	somáticos	ADJ	2	amod
4	como	SCONJ	5	mark
5	eritemas	NOUN	2	nmod
6	,	PUNCT	7	punct
7	anemias	NOUN	5	conj
8	,	PUNCT	9	punct
9	necrosis	NOUN	5	conj
10	y	CCONJ	11	cc
11	esterilidad	NOUN	5	conj
12	,	PUNCT	14	punct
13	entre	ADP	14	case
14	otros	PRON	5	nmod
15	,	PUNCT	14	punct
16	se	PRON	17	expl:pass
17	hacen	VERB	0	root
18	notar	VERB	17	xcomp
19	inmediatamente	ADV	17	advmod
20	,	PUNCT	24	punct
21	en	ADP	24	case
22	una	DET	24	det
23	clara	ADJ	24	amod
24	relación	NOUN	17	obl
25	causa	NOUN	24	nmod
26	efecto	NOUN	25	compound
27	que	PRON	28	nsubj
28	depende	VERB	24	acl
29	de	ADP	31	case
30	la	DET	31	det
31	dosis	NOUN	28	obj
32	recibida	ADJ	31	amod
33	.	PUNCT	17	punct