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:
Para el Sunday Times, Shearer hizo "añicos el mal de ojo de los alemanes "con su tanto de cabeza que sirve al capitán para callar a" muchos de sus críticos".
Postion	Tokenization
1	Para
2	el
3	Sunday
4	Times
5	,
6	Shearer
7	hizo
8	"añicos
9	el
10	mal
11	de
12	ojo
13	de
14	los
15	alemanes
16	"
17	con
18	su
19	tanto
20	de
21	cabeza
22	que
23	sirve
24	al
25	capitán
26	para
27	callar
28	a
29	"
30	muchos
31	de
32	sus
33	críticos
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	Sunday	PROPN	7	obl
4	Times	PROPN	3	flat
5	,	PUNCT	3	punct
6	Shearer	PROPN	7	nsubj
7	hizo	VERB	0	root
8	"añicos	NOUN	7	compound
9	el	DET	10	det
10	mal	NOUN	7	obj
11	de	ADP	12	case
12	ojo	NOUN	10	nmod
13	de	ADP	15	case
14	los	DET	15	det
15	alemanes	NOUN	12	nmod
16	"	PUNCT	7	punct
17	con	ADP	19	case
18	su	DET	19	det
19	tanto	NOUN	7	obl
20	de	ADP	21	case
21	cabeza	NOUN	19	nmod
22	que	PRON	23	nsubj
23	sirve	VERB	19	acl
24	al	ADP	25	case
25	capitán	NOUN	23	iobj
26	para	ADP	27	mark
27	callar	VERB	23	xcomp
28	a	ADP	30	case
29	"	PUNCT	30	punct
30	muchos	PRON	27	obj
31	de	ADP	33	case
32	sus	DET	33	det
33	críticos	NOUN	30	nmod
34	"	PUNCT	30	punct
35	.	PUNCT	7	punct