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:
Un millar de vecinos de Lleida visitaron el antiguo recinto militar de la meseta de Gardeny durante el primero de los siete fines de semana en los que la Paeria abrirá el lugar al público.
Postion	Tokenization
1	Un
2	millar
3	de
4	vecinos
5	de
6	Lleida
7	visitaron
8	el
9	antiguo
10	recinto
11	militar
12	de
13	la
14	meseta
15	de
16	Gardeny
17	durante
18	el
19	primero
20	de
21	los
22	siete
23	fines
24	de
25	semana
26	en
27	los
28	que
29	la
30	Paeria
31	abrirá
32	el
33	lugar
34	al
35	público
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	millar	NOUN	4	nmod
3	de	ADP	2	case
4	vecinos	NOUN	7	nsubj
5	de	ADP	6	case
6	Lleida	PROPN	4	nmod
7	visitaron	VERB	0	root
8	el	DET	10	det
9	antiguo	ADJ	10	amod
10	recinto	NOUN	7	obj
11	militar	ADJ	10	amod
12	de	ADP	14	case
13	la	DET	14	det
14	meseta	NOUN	10	nmod
15	de	ADP	16	case
16	Gardeny	PROPN	14	nmod
17	durante	ADP	19	case
18	el	DET	19	det
19	primero	ADJ	7	obl
20	de	ADP	23	case
21	los	DET	23	det
22	siete	NUM	21	nummod
23	fines	NOUN	19	nmod
24	de	ADP	25	case
25	semana	NOUN	23	nmod
26	en	ADP	28	case
27	los	DET	28	det
28	que	PRON	31	obl
29	la	DET	30	det
30	Paeria	PROPN	31	nsubj
31	abrirá	VERB	23	acl
32	el	DET	33	det
33	lugar	NOUN	31	obj
34	al	ADP	35	case
35	público	NOUN	31	obl
36	.	PUNCT	7	punct