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:
Las declaraciones de Weyrauch han agravado la situación del presidente de la CDU, Wolfgang Schäuble, después de que admitiese haber mantenido más de un encuentro con el comerciante de armas Karlheinz Schreiber.
Postion	Tokenization
1	Las
2	declaraciones
3	de
4	Weyrauch
5	han
6	agravado
7	la
8	situación
9	del
10	presidente
11	de
12	la
13	CDU
14	,
15	Wolfgang
16	Schäuble
17	,
18	después
19	de
20	que
21	admitiese
22	haber
23	mantenido
24	más
25	de
26	un
27	encuentro
28	con
29	el
30	comerciante
31	de
32	armas
33	Karlheinz
34	Schreiber
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	declaraciones	NOUN	6	nsubj
3	de	ADP	4	case
4	Weyrauch	PROPN	2	nmod
5	han	AUX	6	aux
6	agravado	VERB	0	root
7	la	DET	8	det
8	situación	NOUN	6	obj
9	del	ADP	10	case
10	presidente	NOUN	8	nmod
11	de	ADP	13	case
12	la	DET	13	det
13	CDU	PROPN	10	nmod
14	,	PUNCT	15	punct
15	Wolfgang	PROPN	10	appos
16	Schäuble	PROPN	15	flat
17	,	PUNCT	15	punct
18	después	ADV	6	advmod
19	de	ADP	21	mark
20	que	SCONJ	21	mark
21	admitiese	VERB	18	advcl
22	haber	AUX	23	aux
23	mantenido	VERB	21	ccomp
24	más	ADV	26	advmod
25	de	ADP	26	case
26	un	DET	27	det
27	encuentro	NOUN	23	obj
28	con	ADP	30	case
29	el	DET	30	det
30	comerciante	NOUN	27	nmod
31	de	ADP	32	case
32	armas	NOUN	30	nmod
33	Karlheinz	PROPN	30	appos
34	Schreiber	PROPN	33	flat
35	.	PUNCT	6	punct