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:
Above is the link to the Department of State travel website, which will give you all the info that you need, including passport information.
Postion	Tokenization
1	Above
2	is
3	the
4	link
5	to
6	the
7	Department
8	of
9	State
10	travel
11	website
12	,
13	which
14	will
15	give
16	you
17	all
18	the
19	info
20	that
21	you
22	need
23	,
24	including
25	passport
26	information
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Above	ADV	0	root
2	is	AUX	1	cop
3	the	DET	4	det
4	link	NOUN	1	nsubj
5	to	ADP	11	case
6	the	DET	11	det
7	Department	PROPN	11	compound
8	of	ADP	9	case
9	State	PROPN	7	nmod
10	travel	NOUN	11	compound
11	website	NOUN	4	nmod
12	,	PUNCT	4	punct
13	which	PRON	15	nsubj
14	will	AUX	15	aux
15	give	VERB	4	acl:relcl
16	you	PRON	15	iobj
17	all	DET	19	det:predet
18	the	DET	19	det
19	info	NOUN	15	obj
20	that	PRON	22	obj
21	you	PRON	22	nsubj
22	need	VERB	19	acl:relcl
23	,	PUNCT	19	punct
24	including	VERB	26	case
25	passport	NOUN	26	compound
26	information	NOUN	19	nmod
27	.	PUNCT	1	punct