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:
Kohl interpretó en su favor el hecho de que el encargado de analizar la desaparición de este material, Burkhard Hirsch, no haya apuntado a ningún responsable en concreto.
Postion	Tokenization
1	Kohl
2	interpretó
3	en
4	su
5	favor
6	el
7	hecho
8	de
9	que
10	el
11	encargado
12	de
13	analizar
14	la
15	desaparición
16	de
17	este
18	material
19	,
20	Burkhard
21	Hirsch
22	,
23	no
24	haya
25	apuntado
26	a
27	ningún
28	responsable
29	en
30	concreto
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Kohl	PROPN	2	nsubj
2	interpretó	VERB	0	root
3	en	ADP	5	case
4	su	DET	5	det
5	favor	NOUN	2	obl
6	el	DET	7	det
7	hecho	NOUN	2	obj
8	de	ADP	25	mark
9	que	SCONJ	25	mark
10	el	DET	11	det
11	encargado	NOUN	25	nsubj
12	de	ADP	13	mark
13	analizar	VERB	11	acl
14	la	DET	15	det
15	desaparición	NOUN	13	obj
16	de	ADP	18	case
17	este	DET	18	det
18	material	NOUN	15	nmod
19	,	PUNCT	20	punct
20	Burkhard	PROPN	11	appos
21	Hirsch	PROPN	20	flat
22	,	PUNCT	20	punct
23	no	ADV	25	advmod
24	haya	AUX	25	aux
25	apuntado	VERB	7	acl
26	a	ADP	28	case
27	ningún	DET	28	det
28	responsable	NOUN	25	obj
29	en	ADP	25	advmod
30	concreto	NOUN	29	fixed
31	.	PUNCT	2	punct