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:
A road trip to Lisbon and the Algarve in Portugal before a mountain escape in the Pyrenees and a stop in Andorra before heading over to France and Italy and Austria and Switzerland.
Postion	Tokenization
1	A
2	road
3	trip
4	to
5	Lisbon
6	and
7	the
8	Algarve
9	in
10	Portugal
11	before
12	a
13	mountain
14	escape
15	in
16	the
17	Pyrenees
18	and
19	a
20	stop
21	in
22	Andorra
23	before
24	heading
25	over
26	to
27	France
28	and
29	Italy
30	and
31	Austria
32	and
33	Switzerland
34	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	road	NOUN	3	compound
3	trip	NOUN	0	root
4	to	ADP	5	case
5	Lisbon	PROPN	3	nmod
6	and	CCONJ	8	cc
7	the	DET	8	det
8	Algarve	PROPN	5	conj
9	in	ADP	10	case
10	Portugal	PROPN	5	nmod
11	before	ADP	14	case
12	a	DET	14	det
13	mountain	NOUN	14	compound
14	escape	NOUN	3	nmod
15	in	ADP	17	case
16	the	DET	17	det
17	Pyrenees	PROPN	14	nmod
18	and	CCONJ	20	cc
19	a	DET	20	det
20	stop	NOUN	3	conj
21	in	ADP	22	case
22	Andorra	PROPN	20	nmod
23	before	SCONJ	24	mark
24	heading	VERB	20	acl
25	over	ADV	24	advmod
26	to	ADP	27	case
27	France	PROPN	24	obl
28	and	CCONJ	29	cc
29	Italy	PROPN	27	conj
30	and	CCONJ	31	cc
31	Austria	PROPN	27	conj
32	and	CCONJ	33	cc
33	Switzerland	PROPN	31	conj
34	.	PUNCT	3	punct