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:
El diputado del partido Los Verdes, Hans-Christian Ströbele, dijo que "debe investigarse si Schäuble no dijo la verdad intencionadamente".
Postion	Tokenization
1	El
2	diputado
3	del
4	partido
5	Los
6	Verdes
7	,
8	Hans-Christian
9	Ströbele
10	,
11	dijo
12	que
13	"
14	debe
15	investigarse
16	investigar
17	se
18	si
19	Schäuble
20	no
21	dijo
22	la
23	verdad
24	intencionadamente
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diputado	NOUN	11	nsubj
3	del	ADP	4	case
4	partido	NOUN	2	nmod
5	Los	DET	6	det
6	Verdes	PROPN	4	appos
7	,	PUNCT	8	punct
8	Hans-Christian	PROPN	2	appos
9	Ströbele	PROPN	8	flat
10	,	PUNCT	8	punct
11	dijo	VERB	0	root
12	que	SCONJ	15	mark
13	"	PUNCT	15	punct
14	debe	AUX	15	aux
15	investigarse	_	None	_
16	investigar	VERB	11	xcomp
17	se	PRON	15	expl:pass
18	si	SCONJ	20	mark
19	Schäuble	PROPN	20	nsubj
20	no	ADV	20	advmod
21	dijo	VERB	15	csubj
22	la	DET	22	det
23	verdad	NOUN	20	obj
24	intencionadamente	ADV	20	advmod
25	"	PUNCT	15	punct
26	.	PUNCT	11	punct