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:
They are setting the road blocks at the exact same positions they were during the war last year, which indicates they are the same people.
Postion	Tokenization
1	They
2	are
3	setting
4	the
5	road
6	blocks
7	at
8	the
9	exact
10	same
11	positions
12	they
13	were
14	during
15	the
16	war
17	last
18	year
19	,
20	which
21	indicates
22	they
23	are
24	the
25	same
26	people
27	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	3	nsubj
2	are	AUX	3	aux
3	setting	VERB	0	root
4	the	DET	6	det
5	road	NOUN	6	compound
6	blocks	NOUN	3	obj
7	at	ADP	11	case
8	the	DET	11	det
9	exact	ADV	10	advmod
10	same	ADJ	11	amod
11	positions	NOUN	3	obl
12	they	PRON	13	nsubj
13	were	VERB	11	acl:relcl
14	during	ADP	16	case
15	the	DET	16	det
16	war	NOUN	13	obl
17	last	ADJ	18	amod
18	year	NOUN	16	nmod:tmod
19	,	PUNCT	3	punct
20	which	PRON	21	nsubj
21	indicates	VERB	3	advcl
22	they	PRON	26	nsubj
23	are	AUX	26	cop
24	the	DET	26	det
25	same	ADJ	26	amod
26	people	NOUN	21	ccomp
27	.	PUNCT	3	punct