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:
Los periódicos populares alemanes llevan ya varios días ofreciendo detalles sobre el recorrido que efectuará el presidente, fotos de la suite del Hotel Intercontinental en el que se alojará, cuál será el automóvil que utilizará y dónde y con quien almorzará o cenará.
Postion	Tokenization
1	Los
2	periódicos
3	populares
4	alemanes
5	llevan
6	ya
7	varios
8	días
9	ofreciendo
10	detalles
11	sobre
12	el
13	recorrido
14	que
15	efectuará
16	el
17	presidente
18	,
19	fotos
20	de
21	la
22	suite
23	del
24	Hotel
25	Intercontinental
26	en
27	el
28	que
29	se
30	alojará
31	,
32	cuál
33	será
34	el
35	automóvil
36	que
37	utilizará
38	y
39	dónde
40	y
41	con
42	quien
43	almorzará
44	o
45	cenará
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	periódicos	NOUN	5	nsubj
3	populares	ADJ	2	amod
4	alemanes	ADJ	2	amod
5	llevan	VERB	0	root
6	ya	ADV	5	advmod
7	varios	DET	8	det
8	días	NOUN	5	obl
9	ofreciendo	VERB	5	xcomp
10	detalles	NOUN	9	obj
11	sobre	ADP	13	case
12	el	DET	13	det
13	recorrido	NOUN	10	nmod
14	que	PRON	15	obj
15	efectuará	VERB	13	acl
16	el	DET	17	det
17	presidente	NOUN	15	nsubj
18	,	PUNCT	19	punct
19	fotos	NOUN	10	conj
20	de	ADP	22	case
21	la	DET	22	det
22	suite	NOUN	19	nmod
23	del	ADP	24	case
24	Hotel	PROPN	22	nmod
25	Intercontinental	PROPN	24	flat
26	en	ADP	28	case
27	el	DET	28	det
28	que	PRON	30	obl
29	se	PRON	30	expl:pv
30	alojará	VERB	24	acl
31	,	PUNCT	35	punct
32	cuál	PRON	35	nsubj
33	será	AUX	35	cop
34	el	DET	35	det
35	automóvil	NOUN	10	acl
36	que	PRON	37	obj
37	utilizará	VERB	35	acl
38	y	CCONJ	43	cc
39	dónde	PRON	43	obl
40	y	CCONJ	42	cc
41	con	ADP	42	case
42	quien	PRON	39	conj
43	almorzará	VERB	10	conj
44	o	CCONJ	45	cc
45	cenará	VERB	43	conj
46	.	PUNCT	5	punct