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 pretendientes impacientes hacen cola: Artur Mas se encuentra "bien situado", y Josep Antoni Duran Lleida dice modestamente: "No estoy en mala posición".
Postion	Tokenization
1	Los
2	pretendientes
3	impacientes
4	hacen
5	cola
6	:
7	Artur
8	Mas
9	se
10	encuentra
11	"
12	bien
13	situado
14	"
15	,
16	y
17	Josep
18	Antoni
19	Duran
20	Lleida
21	dice
22	modestamente
23	:
24	"
25	No
26	estoy
27	en
28	mala
29	posición
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	pretendientes	NOUN	4	nsubj
3	impacientes	ADJ	2	amod
4	hacen	VERB	0	root
5	cola	NOUN	4	obj
6	:	PUNCT	10	punct
7	Artur	PROPN	10	nsubj
8	Mas	PROPN	7	flat
9	se	PRON	10	expl:pv
10	encuentra	VERB	4	advcl
11	"	PUNCT	13	punct
12	bien	ADV	13	advmod
13	situado	ADJ	10	obj
14	"	PUNCT	13	punct
15	,	PUNCT	21	punct
16	y	CCONJ	21	cc
17	Josep	PROPN	21	nsubj
18	Antoni	PROPN	17	flat
19	Duran	PROPN	17	flat
20	Lleida	PROPN	17	flat
21	dice	VERB	10	conj
22	modestamente	ADV	21	advmod
23	:	PUNCT	29	punct
24	"	PUNCT	29	punct
25	No	ADV	29	advmod
26	estoy	AUX	29	cop
27	en	ADP	29	case
28	mala	ADJ	29	amod
29	posición	NOUN	21	ccomp
30	"	PUNCT	29	punct
31	.	PUNCT	4	punct