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:
"He cometido un error y punto", constató el ex canciller, en alusión a que no se atuvo a las reglas parlamentarias al recaudar entre 1,5 y dos millones de marcos en donativos a la CDU.
Postion	Tokenization
1	"
2	He
3	cometido
4	un
5	error
6	y
7	punto
8	"
9	,
10	constató
11	el
12	ex
13	canciller
14	,
15	en
16	alusión
17	a
18	que
19	no
20	se
21	atuvo
22	a
23	las
24	reglas
25	parlamentarias
26	al
27	recaudar
28	entre
29	1,5
30	y
31	dos
32	millones
33	de
34	marcos
35	en
36	donativos
37	a
38	la
39	CDU
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	He	AUX	3	aux
3	cometido	VERB	10	ccomp
4	un	DET	5	det
5	error	NOUN	3	obj
6	y	CCONJ	7	cc
7	punto	NOUN	3	conj
8	"	PUNCT	3	punct
9	,	PUNCT	3	punct
10	constató	VERB	0	root
11	el	DET	13	det
12	ex	ADJ	13	amod
13	canciller	NOUN	10	nsubj
14	,	PUNCT	21	punct
15	en	ADP	21	mark
16	alusión	NOUN	15	fixed
17	a	ADP	15	fixed
18	que	SCONJ	21	mark
19	no	ADV	21	advmod
20	se	PRON	21	expl:pv
21	atuvo	VERB	10	advcl
22	a	ADP	24	case
23	las	DET	24	det
24	reglas	NOUN	21	obj
25	parlamentarias	ADJ	24	amod
26	al	ADP	27	mark
27	recaudar	VERB	21	advcl
28	entre	ADP	29	case
29	1,5	NUM	32	nummod
30	y	CCONJ	31	cc
31	dos	NUM	29	conj
32	millones	NOUN	27	obj
33	de	ADP	34	case
34	marcos	NOUN	32	nmod
35	en	ADP	36	case
36	donativos	NOUN	32	nmod
37	a	ADP	39	case
38	la	DET	39	det
39	CDU	PROPN	36	nmod
40	.	PUNCT	10	punct