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:
"Europa se desliza hacia lo desconocido", rezaba el diario Daily Telegraph en su portada, mientras que The Times escogió el titular "Europa se lanza al agua".
Postion	Tokenization
1	"
2	Europa
3	se
4	desliza
5	hacia
6	lo
7	desconocido
8	"
9	,
10	rezaba
11	el
12	diario
13	Daily
14	Telegraph
15	en
16	su
17	portada
18	,
19	mientras
20	que
21	The
22	Times
23	escogió
24	el
25	titular
26	"
27	Europa
28	se
29	lanza
30	al
31	agua
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Europa	PROPN	4	nsubj
3	se	PRON	4	expl:pv
4	desliza	VERB	10	ccomp
5	hacia	ADP	7	case
6	lo	PRON	7	det
7	desconocido	ADJ	4	advmod
8	"	PUNCT	4	punct
9	,	PUNCT	4	punct
10	rezaba	VERB	19	parataxis
11	el	DET	12	det
12	diario	NOUN	10	nsubj
13	Daily	PROPN	12	appos
14	Telegraph	PROPN	13	flat
15	en	ADP	17	case
16	su	DET	17	det
17	portada	NOUN	10	obl
18	,	PUNCT	19	punct
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	The	PROPN	23	nsubj
22	Times	PROPN	21	flat
23	escogió	VERB	19	parataxis
24	el	DET	25	det
25	titular	NOUN	23	obj
26	"	PUNCT	27	punct
27	Europa	PROPN	25	appos
28	se	PRON	27	flat
29	lanza	PROPN	27	flat
30	al	ADP	31	case
31	agua	PROPN	27	flat
32	"	PUNCT	27	punct
33	.	PUNCT	19	punct